{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Administrator\Dropbox\Papers\ARD Elites\Draft\ARD Observational\PoP\Final submission\Data\ARD_PoP_StataLog.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}12 Dec 2024, 08:25:07

{com}. do "C:\Users\ADMINI~1\AppData\Local\Temp\STD4180_000000.tmp"
{txt}
{com}. ****Autocratic Revolving Doors****
. ****Roman-Gabriel Olar****
. ****Created on 17/02/2022****
. ****Last modified on 12/10/2024****
. 
. 
. *** Figure 1 ***
. use "Figure_1.dta", clear
{txt}
{com}. line prop_ARD yr_t, xlabel(1(4)37) ylabel(0(.05)0.35) xtitle("Years of democracy") ytitle("Share of former autocrats in cabinet") scheme(plotplain) 
{res}{txt}
{com}. 
. ***Generate elite-country data
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. 
. 
. sort newid year
{txt}
{com}. collapse (max) female first_ARD  major_frev minor_frev first_rev prev_core prev_prestige_2 prev_military ///
>                  exit_yr  birthyear  elected appointed app_elec entry_to_trans diff_pol mean_polyarchy max_yr_t ///
>                  (lastnm) same same2 gender NUML_aut yr_t ccode prev_gwf_military prev_gwf_party prev_gwf_personal prev_communist party_english prev_portfolio_1 prev_prestige_1 prev_classification gwf_casename gwf_country name age_cab age_exit count_pos ///
>                  elite_pact CRT_regime  age_total cab_gwfcaseid cab_gwfname ///
>                  cab_tw0 cab_tw1 cab_tw2 cab_tw3 cab_tw4 region  max_spell_dem ///
>                  cab_gwf_military cab_gwf_party cab_gwf_personal cab_communist ///
>                 dem_const new_const coldwar mean_reshuf l_ARD ///
>                 prev_leader prev_minister yr_since_exit age_entry age_cab_new ///
>                 (sum)  lustration_pos truthcommission_pos purge_pos rev2dem (firstnm) country_name age (mean) lrgdpopct1 rgdpopc_1yrcht1 litpopt1, by(newid gwf_caseid)
{txt}
{com}.                 
. 
. ***Label all variables
. label variable major_frev "Autocratic Revolving Doors"
{txt}
{com}. label variable prev_prestige_2 "Prestigious Portfolio"
{txt}
{com}. label variable prev_military "National Security, Defense & Military"
{txt}
{com}. label variable NUML_aut "No. of Years in Autocratic Cabinet"
{txt}
{com}. label variable prev_core "Core Cabinet Member"
{txt}
{com}. label variable female "Female"
{txt}
{com}. label variable prev_gwf_military "Military"
{txt}
{com}. label variable prev_gwf_party "Single party"
{txt}
{com}. label variable prev_gwf_personal "Personalistic"
{txt}
{com}. label variable lrgdpopct1 "Log GDP/capita t-1"
{txt}
{com}. label variable rgdpopc_1yrcht1 "GDP growth t-1"
{txt}
{com}. label variable litpopt1 "Log population size t-1"
{txt}
{com}. 
. save "MainData_ARD_PoP_CS.dta", replace
{txt}file MainData_ARD_PoP_CS.dta saved

{com}. 
. 
. *** Generate globals ***                
. global ind prev_core NUML_aut prev_prestige_2 prev_military 
{txt}
{com}. global ind2 i.prev_core##i.prev_military  NUML_aut prev_prestige_2 
{txt}
{com}. global pre prev_gwf_military prev_gwf_party prev_gwf_personal
{txt}
{com}. global cabinet cab_gwf_party cab_gwf_personal cab_gwf_military 
{txt}
{com}. global TJ l_lustration_pos l_truthcommission_pos l_purge_pos
{txt}
{com}. global time yr_t yr_since_exit
{txt}
{com}. global macro lrgdpopct1 rgdpopc_1yrcht1 litpopt1
{txt}
{com}. global p2p i.prev_highereducation i.prev_pol_exp i.prev_class i.prev_occupation i.prev_pol_fam
{txt}
{com}. 
. 
. *******************************************
. *************Table 1***********************
. *******************************************
. 
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. *** Model 1 ***
. logit major_frev $ind i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 77 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 123 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3899.9914}  
Iteration 1:{space 3}log likelihood = {res:-3645.4087}  
Iteration 2:{space 3}log likelihood = {res:-3606.9321}  
Iteration 3:{space 3}log likelihood = {res:-3509.2543}  (backed up)
Iteration 4:{space 3}log likelihood = {res:-3443.4406}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-3426.9072}  
Iteration 6:{space 3}log likelihood = {res:-3420.2568}  
Iteration 7:{space 3}log likelihood = {res:-3419.4057}  
Iteration 8:{space 3}log likelihood = {res:-3419.4015}  
Iteration 9:{space 3}log likelihood = {res:-3419.4015}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,943
{txt}{col 49}LR chi2({res}94{txt}){col 67}= {res}    961.18
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3419.4015{txt}{col 49}Pseudo R2{col 67}= {res}    0.1232

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.240683{col 29}{space 2} .1465747{col 40}{space 1}    8.46{col 49}{space 3}0.000{col 57}{space 4} .9534024{col 70}{space 3} 1.527964
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.1414272{col 29}{space 2} .0138174{col 40}{space 1}  -10.24{col 49}{space 3}0.000{col 57}{space 4}-.1685088{col 70}{space 3}-.1143456
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2}  .322482{col 29}{space 2} .0883055{col 40}{space 1}    3.65{col 49}{space 3}0.000{col 57}{space 4} .1494065{col 70}{space 3} .4955575
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.2255034{col 29}{space 2} .1753062{col 40}{space 1}   -1.29{col 49}{space 3}0.198{col 57}{space 4}-.5690972{col 70}{space 3} .1180903
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{txt}{space 11}398  {c |}{col 17}{res}{space 2} 1.435296{col 29}{space 2} .5417371{col 40}{space 1}    2.65{col 49}{space 3}0.008{col 57}{space 4} .3735104{col 70}{space 3} 2.497081
{txt}{space 11}401  {c |}{col 17}{res}{space 2}-.8072445{col 29}{space 2} .7807718{col 40}{space 1}   -1.03{col 49}{space 3}0.301{col 57}{space 4}-2.337529{col 70}{space 3} .7230401
{txt}{space 11}402  {c |}{col 17}{res}{space 2}-1.958719{col 29}{space 2} 1.052382{col 40}{space 1}   -1.86{col 49}{space 3}0.063{col 57}{space 4}-4.021351{col 70}{space 3} .1039125
{txt}{space 11}409  {c |}{col 17}{res}{space 2} 2.341782{col 29}{space 2} .3789105{col 40}{space 1}    6.18{col 49}{space 3}0.000{col 57}{space 4} 1.599131{col 70}{space 3} 3.084433
{txt}{space 11}411  {c |}{col 17}{res}{space 2}-.7619823{col 29}{space 2} .5532278{col 40}{space 1}   -1.38{col 49}{space 3}0.168{col 57}{space 4}-1.846289{col 70}{space 3} .3223243
{txt}{space 11}417  {c |}{col 17}{res}{space 2} 1.408268{col 29}{space 2}  .402807{col 40}{space 1}    3.50{col 49}{space 3}0.000{col 57}{space 4} .6187804{col 70}{space 3} 2.197755
{txt}{space 11}419  {c |}{col 17}{res}{space 2} 1.831782{col 29}{space 2} .3815557{col 40}{space 1}    4.80{col 49}{space 3}0.000{col 57}{space 4} 1.083947{col 70}{space 3} 2.579618
{txt}{space 11}428  {c |}{col 17}{res}{space 2} 2.417617{col 29}{space 2} .3893823{col 40}{space 1}    6.21{col 49}{space 3}0.000{col 57}{space 4} 1.654442{col 70}{space 3} 3.180793
{txt}{space 11}436  {c |}{col 17}{res}{space 2} .9172211{col 29}{space 2} .5327089{col 40}{space 1}    1.72{col 49}{space 3}0.085{col 57}{space 4}-.1268692{col 70}{space 3} 1.961311
{txt}{space 11}439  {c |}{col 17}{res}{space 2} 2.309109{col 29}{space 2} .4667415{col 40}{space 1}    4.95{col 49}{space 3}0.000{col 57}{space 4} 1.394312{col 70}{space 3} 3.223905
{txt}{space 11}441  {c |}{col 17}{res}{space 2}  2.99799{col 29}{space 2} .3690633{col 40}{space 1}    8.12{col 49}{space 3}0.000{col 57}{space 4} 2.274639{col 70}{space 3}  3.72134
{txt}{space 11}448  {c |}{col 17}{res}{space 2} .9646595{col 29}{space 2} .4198946{col 40}{space 1}    2.30{col 49}{space 3}0.022{col 57}{space 4} .1416812{col 70}{space 3} 1.787638
{txt}{space 11}464  {c |}{col 17}{res}{space 2} 1.439436{col 29}{space 2} .4071244{col 40}{space 1}    3.54{col 49}{space 3}0.000{col 57}{space 4}  .641487{col 70}{space 3} 2.237385
{txt}{space 11}472  {c |}{col 17}{res}{space 2} 1.285056{col 29}{space 2} .6831532{col 40}{space 1}    1.88{col 49}{space 3}0.060{col 57}{space 4}-.0538999{col 70}{space 3} 2.624011
{txt}{space 11}474  {c |}{col 17}{res}{space 2} 1.748673{col 29}{space 2} .3955355{col 40}{space 1}    4.42{col 49}{space 3}0.000{col 57}{space 4} .9734381{col 70}{space 3} 2.523909
{txt}{space 11}476  {c |}{col 17}{res}{space 2} .9314243{col 29}{space 2} .4487768{col 40}{space 1}    2.08{col 49}{space 3}0.038{col 57}{space 4}  .051838{col 70}{space 3} 1.811011
{txt}{space 11}478  {c |}{col 17}{res}{space 2}-.9284257{col 29}{space 2} .7808243{col 40}{space 1}   -1.19{col 49}{space 3}0.234{col 57}{space 4}-2.458813{col 70}{space 3} .6019617
{txt}{space 11}483  {c |}{col 17}{res}{space 2} .5111291{col 29}{space 2} .4689904{col 40}{space 1}    1.09{col 49}{space 3}0.276{col 57}{space 4}-.4080752{col 70}{space 3} 1.430333
{txt}{space 11}490  {c |}{col 17}{res}{space 2} .8894211{col 29}{space 2} .6803055{col 40}{space 1}    1.31{col 49}{space 3}0.191{col 57}{space 4}-.4439533{col 70}{space 3} 2.222795
{txt}{space 11}505  {c |}{col 17}{res}{space 2} 1.571808{col 29}{space 2} .5006629{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4} .5905266{col 70}{space 3} 2.553089
{txt}{space 11}508  {c |}{col 17}{res}{space 2}-.3548093{col 29}{space 2}  1.06131{col 40}{space 1}   -0.33{col 49}{space 3}0.738{col 57}{space 4}-2.434938{col 70}{space 3} 1.725319
{txt}{space 11}525  {c |}{col 17}{res}{space 2} .0198786{col 29}{space 2}  .667661{col 40}{space 1}    0.03{col 49}{space 3}0.976{col 57}{space 4}-1.288713{col 70}{space 3}  1.32847
{txt}{space 11}527  {c |}{col 17}{res}{space 2}  .252602{col 29}{space 2} .5013124{col 40}{space 1}    0.50{col 49}{space 3}0.614{col 57}{space 4}-.7299522{col 70}{space 3} 1.235156
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.424012{col 29}{space 2} .3523592{col 40}{space 1}  -12.56{col 49}{space 3}0.000{col 57}{space 4}-5.114623{col 70}{space 3}  -3.7334
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,949{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 27424.1
{txt}{col 15}std. dev:{res}{col 26} 16185.3

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4999{col 37}   13268{col 47}   27224{col 57}   41541{col 67}   49824

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 483.969
{txt}{col 15}std. dev:{res}{col 26} 220.025

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     365{col 47}     452{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 281.177
{txt}{col 15}std. dev:{res}{col 26} 138.643

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. *** Model 2 ***
. logit major_frev $ind female i.dem_const i.coldwar $pre $macro i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3897.6473}  
Iteration 1:{space 3}log likelihood = {res:-2822.7448}  
Iteration 2:{space 3}log likelihood = {res:-2635.9742}  
Iteration 3:{space 3}log likelihood = {res:-2309.3195}  
Iteration 4:{space 3}log likelihood = {res:-2200.5775}  
Iteration 5:{space 3}log likelihood = {res: -2179.778}  
Iteration 6:{space 3}log likelihood = {res:-2179.5192}  
Iteration 7:{space 3}log likelihood = {res:-2179.5189}  
Iteration 8:{space 3}log likelihood = {res:-2179.5189}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,909
{txt}{col 49}LR chi2({res}100{txt}){col 67}= {res}   3436.26
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2179.5189{txt}{col 49}Pseudo R2{col 67}= {res}    0.4408

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 2.146116{col 31}{space 2} .2186681{col 42}{space 1}    9.81{col 51}{space 3}0.000{col 59}{space 4} 1.717534{col 72}{space 3} 2.574697
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}  -.11114{col 31}{space 2} .0163228{col 42}{space 1}   -6.81{col 51}{space 3}0.000{col 59}{space 4}-.1431322{col 72}{space 3}-.0791478
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2988105{col 31}{space 2} .1144344{col 42}{space 1}    2.61{col 51}{space 3}0.009{col 59}{space 4} .0745232{col 72}{space 3} .5230977
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.2336999{col 31}{space 2}  .234079{col 42}{space 1}   -1.00{col 51}{space 3}0.318{col 59}{space 4}-.6924864{col 72}{space 3} .2250865
{txt}{space 11}female {c |}{col 19}{res}{space 2} .4556963{col 31}{space 2} .1635379{col 42}{space 1}    2.79{col 51}{space 3}0.005{col 59}{space 4} .1351678{col 72}{space 3} .7762247
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2}-2.132087{col 31}{space 2} .4977717{col 42}{space 1}   -4.28{col 51}{space 3}0.000{col 59}{space 4}-3.107702{col 72}{space 3}-1.156472
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2} -.966915{col 31}{space 2} .6713045{col 42}{space 1}   -1.44{col 51}{space 3}0.150{col 59}{space 4}-2.282648{col 72}{space 3} .3488177
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-59.36887{col 31}{space 2} 5.075597{col 42}{space 1}  -11.70{col 51}{space 3}0.000{col 59}{space 4}-69.31686{col 72}{space 3}-49.42088
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-16.26181{col 31}{space 2} 1.535695{col 42}{space 1}  -10.59{col 51}{space 3}0.000{col 59}{space 4}-19.27172{col 72}{space 3}-13.25191
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2} 5.209602{col 31}{space 2} .8605912{col 42}{space 1}    6.05{col 51}{space 3}0.000{col 59}{space 4} 3.522874{col 72}{space 3}  6.89633
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}-10.60143{col 31}{space 2} .9565981{col 42}{space 1}  -11.08{col 51}{space 3}0.000{col 59}{space 4}-12.47632{col 72}{space 3}-8.726528
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-1.734153{col 31}{space 2} 4.085515{col 42}{space 1}   -0.42{col 51}{space 3}0.671{col 59}{space 4}-9.741616{col 72}{space 3} 6.273309
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} -34.8219{col 31}{space 2} 1.895152{col 42}{space 1}  -18.37{col 51}{space 3}0.000{col 59}{space 4}-38.53633{col 72}{space 3}-31.10747
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2}-47.83291{col 31}{space 2} 3.346631{col 42}{space 1}  -14.29{col 51}{space 3}0.000{col 59}{space 4}-54.39219{col 72}{space 3}-41.27364
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2}-67.24947{col 31}{space 2} 5.459476{col 42}{space 1}  -12.32{col 51}{space 3}0.000{col 59}{space 4}-77.94984{col 72}{space 3}-56.54909
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} 40.85544{col 31}{space 2} 2.513584{col 42}{space 1}   16.25{col 51}{space 3}0.000{col 59}{space 4}  35.9289{col 72}{space 3} 45.78197
{txt}{space 14}38  {c |}{col 19}{res}{space 2} 116.7192{col 31}{space 2} 8.017885{col 42}{space 1}   14.56{col 51}{space 3}0.000{col 59}{space 4} 101.0044{col 72}{space 3} 132.4339
{txt}{space 14}51  {c |}{col 19}{res}{space 2}-58.67821{col 31}{space 2} 3.415919{col 42}{space 1}  -17.18{col 51}{space 3}0.000{col 59}{space 4}-65.37329{col 72}{space 3}-51.98313
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 17.64472{col 31}{space 2} 3.774213{col 42}{space 1}    4.68{col 51}{space 3}0.000{col 59}{space 4}  10.2474{col 72}{space 3} 25.04204
{txt}{space 14}69  {c |}{col 19}{res}{space 2} 134.2841{col 31}{space 2} 7.687075{col 42}{space 1}   17.47{col 51}{space 3}0.000{col 59}{space 4} 119.2177{col 72}{space 3} 149.3505
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-8.487435{col 31}{space 2} 2.093877{col 42}{space 1}   -4.05{col 51}{space 3}0.000{col 59}{space 4}-12.59136{col 72}{space 3}-4.383511
{txt}{space 14}78  {c |}{col 19}{res}{space 2}-23.84505{col 31}{space 2} 1.238603{col 42}{space 1}  -19.25{col 51}{space 3}0.000{col 59}{space 4}-26.27267{col 72}{space 3}-21.41743
{txt}{space 14}82  {c |}{col 19}{res}{space 2}-1.484221{col 31}{space 2} 3.041217{col 42}{space 1}   -0.49{col 51}{space 3}0.626{col 59}{space 4}-7.444897{col 72}{space 3} 4.476456
{txt}{space 14}85  {c |}{col 19}{res}{space 2} 3.110232{col 31}{space 2} 3.669762{col 42}{space 1}    0.85{col 51}{space 3}0.397{col 59}{space 4} -4.08237{col 72}{space 3} 10.30283
{txt}{space 14}98  {c |}{col 19}{res}{space 2}-21.74274{col 31}{space 2}  2.93502{col 42}{space 1}   -7.41{col 51}{space 3}0.000{col 59}{space 4}-27.49527{col 72}{space 3} -15.9902
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2}-67.55243{col 31}{space 2} 3.320768{col 42}{space 1}  -20.34{col 51}{space 3}0.000{col 59}{space 4}-74.06102{col 72}{space 3}-61.04385
{txt}{space 13}141  {c |}{col 19}{res}{space 2}  -37.001{col 31}{space 2} 3.716772{col 42}{space 1}   -9.96{col 51}{space 3}0.000{col 59}{space 4}-44.28574{col 72}{space 3}-29.71626
{txt}{space 13}147  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2} 38.93795{col 31}{space 2} 3.996971{col 42}{space 1}    9.74{col 51}{space 3}0.000{col 59}{space 4} 31.10403{col 72}{space 3} 46.77187
{txt}{space 13}154  {c |}{col 19}{res}{space 2} 113.1691{col 31}{space 2} 6.365729{col 42}{space 1}   17.78{col 51}{space 3}0.000{col 59}{space 4} 100.6925{col 72}{space 3} 125.6457
{txt}{space 13}159  {c |}{col 19}{res}{space 2}  14.3201{col 31}{space 2} 2.160295{col 42}{space 1}    6.63{col 51}{space 3}0.000{col 59}{space 4}   10.086{col 72}{space 3}  18.5542
{txt}{space 13}170  {c |}{col 19}{res}{space 2}-93.09209{col 31}{space 2} 5.197816{col 42}{space 1}  -17.91{col 51}{space 3}0.000{col 59}{space 4}-103.2796{col 72}{space 3}-82.90455
{txt}{space 13}174  {c |}{col 19}{res}{space 2} -59.5052{col 31}{space 2} 4.609632{col 42}{space 1}  -12.91{col 51}{space 3}0.000{col 59}{space 4}-68.53991{col 72}{space 3}-50.47048
{txt}{space 13}180  {c |}{col 19}{res}{space 2} 21.26353{col 31}{space 2} 3.109962{col 42}{space 1}    6.84{col 51}{space 3}0.000{col 59}{space 4} 15.16812{col 72}{space 3} 27.35895
{txt}{space 13}182  {c |}{col 19}{res}{space 2} 23.72986{col 31}{space 2} 3.673302{col 42}{space 1}    6.46{col 51}{space 3}0.000{col 59}{space 4} 16.53032{col 72}{space 3}  30.9294
{txt}{space 13}184  {c |}{col 19}{res}{space 2}-10.65291{col 31}{space 2} 1.210847{col 42}{space 1}   -8.80{col 51}{space 3}0.000{col 59}{space 4}-13.02613{col 72}{space 3}-8.279694
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}196  {c |}{col 19}{res}{space 2} 36.93498{col 31}{space 2} 3.188124{col 42}{space 1}   11.59{col 51}{space 3}0.000{col 59}{space 4} 30.68637{col 72}{space 3} 43.18359
{txt}{space 13}200  {c |}{col 19}{res}{space 2}-121.4068{col 31}{space 2} 6.331039{col 42}{space 1}  -19.18{col 51}{space 3}0.000{col 59}{space 4}-133.8155{col 72}{space 3}-108.9982
{txt}{space 13}203  {c |}{col 19}{res}{space 2}-113.5731{col 31}{space 2} 5.946675{col 42}{space 1}  -19.10{col 51}{space 3}0.000{col 59}{space 4}-125.2284{col 72}{space 3}-101.9178
{txt}{space 13}205  {c |}{col 19}{res}{space 2}-41.50702{col 31}{space 2} 2.432204{col 42}{space 1}  -17.07{col 51}{space 3}0.000{col 59}{space 4}-46.27406{col 72}{space 3}-36.73999
{txt}{space 13}209  {c |}{col 19}{res}{space 2}-41.99379{col 31}{space 2} 2.124548{col 42}{space 1}  -19.77{col 51}{space 3}0.000{col 59}{space 4}-46.15783{col 72}{space 3}-37.82975
{txt}{space 13}217  {c |}{col 19}{res}{space 2}  10.0303{col 31}{space 2}  2.95595{col 42}{space 1}    3.39{col 51}{space 3}0.001{col 59}{space 4} 4.236749{col 72}{space 3} 15.82386
{txt}{space 13}219  {c |}{col 19}{res}{space 2} 12.37106{col 31}{space 2} 3.082852{col 42}{space 1}    4.01{col 51}{space 3}0.000{col 59}{space 4} 6.328784{col 72}{space 3} 18.41334
{txt}{space 13}222  {c |}{col 19}{res}{space 2}-44.06807{col 31}{space 2} 2.346416{col 42}{space 1}  -18.78{col 51}{space 3}0.000{col 59}{space 4}-48.66696{col 72}{space 3}-39.46918
{txt}{space 13}227  {c |}{col 19}{res}{space 2}-60.43495{col 31}{space 2}  3.22143{col 42}{space 1}  -18.76{col 51}{space 3}0.000{col 59}{space 4}-66.74884{col 72}{space 3}-54.12107
{txt}{space 13}229  {c |}{col 19}{res}{space 2} 9.658777{col 31}{space 2} 2.576396{col 42}{space 1}    3.75{col 51}{space 3}0.000{col 59}{space 4} 4.609133{col 72}{space 3} 14.70842
{txt}{space 13}232  {c |}{col 19}{res}{space 2} 2.998455{col 31}{space 2} 1.850907{col 42}{space 1}    1.62{col 51}{space 3}0.105{col 59}{space 4}-.6292572{col 72}{space 3} 6.626167
{txt}{space 13}238  {c |}{col 19}{res}{space 2} 96.42971{col 31}{space 2} 5.021151{col 42}{space 1}   19.20{col 51}{space 3}0.000{col 59}{space 4} 86.58844{col 72}{space 3}  106.271
{txt}{space 13}248  {c |}{col 19}{res}{space 2} 43.59754{col 31}{space 2} 1.735399{col 42}{space 1}   25.12{col 51}{space 3}0.000{col 59}{space 4} 40.19622{col 72}{space 3} 46.99886
{txt}{space 13}255  {c |}{col 19}{res}{space 2}-6.684404{col 31}{space 2} 1.137745{col 42}{space 1}   -5.88{col 51}{space 3}0.000{col 59}{space 4}-8.914343{col 72}{space 3}-4.454465
{txt}{space 13}260  {c |}{col 19}{res}{space 2} 33.14728{col 31}{space 2}  2.14347{col 42}{space 1}   15.46{col 51}{space 3}0.000{col 59}{space 4} 28.94616{col 72}{space 3} 37.34841
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{txt}{space 13}270  {c |}{col 19}{res}{space 2}-53.31018{col 31}{space 2} 3.791881{col 42}{space 1}  -14.06{col 51}{space 3}0.000{col 59}{space 4}-60.74213{col 72}{space 3}-45.87823
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{txt}{space 13}336  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
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{txt}{space 13}351  {c |}{col 19}{res}{space 2} 37.24145{col 31}{space 2} 4.982092{col 42}{space 1}    7.48{col 51}{space 3}0.000{col 59}{space 4} 27.47673{col 72}{space 3} 47.00617
{txt}{space 13}354  {c |}{col 19}{res}{space 2} 102.7156{col 31}{space 2} 6.416415{col 42}{space 1}   16.01{col 51}{space 3}0.000{col 59}{space 4} 90.13962{col 72}{space 3} 115.2915
{txt}{space 13}357  {c |}{col 19}{res}{space 2}  122.163{col 31}{space 2} 7.829956{col 42}{space 1}   15.60{col 51}{space 3}0.000{col 59}{space 4} 106.8165{col 72}{space 3} 137.5094
{txt}{space 13}362  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}365  {c |}{col 19}{res}{space 2} 110.2189{col 31}{space 2} 7.473662{col 42}{space 1}   14.75{col 51}{space 3}0.000{col 59}{space 4} 95.57075{col 72}{space 3}  124.867
{txt}{space 13}367  {c |}{col 19}{res}{space 2} 134.0943{col 31}{space 2} 8.154789{col 42}{space 1}   16.44{col 51}{space 3}0.000{col 59}{space 4} 118.1112{col 72}{space 3} 150.0773
{txt}{space 13}376  {c |}{col 19}{res}{space 2}-.3427937{col 31}{space 2} 1.690422{col 42}{space 1}   -0.20{col 51}{space 3}0.839{col 59}{space 4}-3.655961{col 72}{space 3} 2.970373
{txt}{space 13}380  {c |}{col 19}{res}{space 2} -36.5167{col 31}{space 2} 2.547549{col 42}{space 1}  -14.33{col 51}{space 3}0.000{col 59}{space 4} -41.5098{col 72}{space 3}-31.52359
{txt}{space 13}387  {c |}{col 19}{res}{space 2} 51.82059{col 31}{space 2} 4.132343{col 42}{space 1}   12.54{col 51}{space 3}0.000{col 59}{space 4} 43.72135{col 72}{space 3} 59.91984
{txt}{space 13}390  {c |}{col 19}{res}{space 2} 6.550931{col 31}{space 2} 1.926227{col 42}{space 1}    3.40{col 51}{space 3}0.001{col 59}{space 4} 2.775596{col 72}{space 3} 10.32627
{txt}{space 13}393  {c |}{col 19}{res}{space 2} 32.70323{col 31}{space 2} 1.854932{col 42}{space 1}   17.63{col 51}{space 3}0.000{col 59}{space 4} 29.06763{col 72}{space 3} 36.33883
{txt}{space 13}395  {c |}{col 19}{res}{space 2}  46.9122{col 31}{space 2} 1.936577{col 42}{space 1}   24.22{col 51}{space 3}0.000{col 59}{space 4} 43.11658{col 72}{space 3} 50.70783
{txt}{space 13}398  {c |}{col 19}{res}{space 2}-20.96555{col 31}{space 2} 3.669291{col 42}{space 1}   -5.71{col 51}{space 3}0.000{col 59}{space 4}-28.15723{col 72}{space 3}-13.77387
{txt}{space 13}401  {c |}{col 19}{res}{space 2} 24.02313{col 31}{space 2} 1.331756{col 42}{space 1}   18.04{col 51}{space 3}0.000{col 59}{space 4} 21.41294{col 72}{space 3} 26.63332
{txt}{space 13}402  {c |}{col 19}{res}{space 2} 106.5517{col 31}{space 2} 4.675344{col 42}{space 1}   22.79{col 51}{space 3}0.000{col 59}{space 4} 97.38824{col 72}{space 3} 115.7153
{txt}{space 13}409  {c |}{col 19}{res}{space 2} -11.7717{col 31}{space 2} 1.090662{col 42}{space 1}  -10.79{col 51}{space 3}0.000{col 59}{space 4}-13.90936{col 72}{space 3}-9.634045
{txt}{space 13}411  {c |}{col 19}{res}{space 2}-11.89981{col 31}{space 2} 1.980758{col 42}{space 1}   -6.01{col 51}{space 3}0.000{col 59}{space 4}-15.78202{col 72}{space 3}-8.017594
{txt}{space 13}417  {c |}{col 19}{res}{space 2}-10.14665{col 31}{space 2}  2.63419{col 42}{space 1}   -3.85{col 51}{space 3}0.000{col 59}{space 4}-15.30957{col 72}{space 3}-4.983737
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{txt}{space 13}428  {c |}{col 19}{res}{space 2} 53.17268{col 31}{space 2} 2.118509{col 42}{space 1}   25.10{col 51}{space 3}0.000{col 59}{space 4} 49.02047{col 72}{space 3} 57.32488
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{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 434.1869{col 31}{space 2}   18.276{col 42}{space 1}   23.76{col 51}{space 3}0.000{col 59}{space 4} 398.3666{col 72}{space 3} 470.0072
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,923{col 51}{txt}missing .:  {res}0{txt}/{res}15,909

{txt}{col 19}mean:{res}{col 26} 27423.5
{txt}{col 15}std. dev:{res}{col 26} 16189.9

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4997{col 37}   13280{col 47}   27217{col 57}   41541{col 67}   49828

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}15,909

{txt}{col 19}mean:{res}{col 26} 483.845
{txt}{col 15}std. dev:{res}{col 26} 220.155

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     365{col 47}     452{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}15,909

{txt}{col 19}mean:{res}{col 26} 280.922
{txt}{col 15}std. dev:{res}{col 26} 138.597

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. *** TSCS Models ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. *** Model 3 ***
. logit major_frev $ind i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 231 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 144 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6620.4189}  
Iteration 1:{space 3}log likelihood = {res: -6354.543}  
Iteration 2:{space 3}log likelihood = {res:-6088.6083}  
Iteration 3:{space 3}log likelihood = {res:-6081.4685}  
Iteration 4:{space 3}log likelihood = {res:-6044.2042}  
Iteration 5:{space 3}log likelihood = {res:-6044.1906}  
Iteration 6:{space 3}log likelihood = {res:-6044.1846}  
Iteration 7:{space 3}log likelihood = {res:-6044.1838}  (backed up)
Iteration 8:{space 3}log likelihood = {res:-6044.1838}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-6044.1837}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-6044.1837}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-6044.1837}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-5863.2213}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-5860.6796}  
Iteration 14:{space 2}log likelihood = {res:-5860.6554}  
Iteration 15:{space 2}log likelihood = {res:-5860.6554}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   200,668
{txt}{col 49}LR chi2({res}94{txt}){col 67}= {res}   1519.53
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5860.6554{txt}{col 49}Pseudo R2{col 67}= {res}    0.1148

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.183329{col 29}{space 2} .1430746{col 40}{space 1}    8.27{col 49}{space 3}0.000{col 57}{space 4} .9029077{col 70}{space 3}  1.46375
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.1516379{col 29}{space 2}  .013758{col 40}{space 1}  -11.02{col 49}{space 3}0.000{col 57}{space 4}-.1786032{col 70}{space 3}-.1246727
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .3088877{col 29}{space 2} .0827303{col 40}{space 1}    3.73{col 49}{space 3}0.000{col 57}{space 4} .1467393{col 70}{space 3} .4710362
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.1866627{col 29}{space 2} .1662975{col 40}{space 1}   -1.12{col 49}{space 3}0.262{col 57}{space 4}-.5125998{col 70}{space 3} .1392745
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}11  {c |}{col 17}{res}{space 2}-.5816139{col 29}{space 2} .5178286{col 40}{space 1}   -1.12{col 49}{space 3}0.261{col 57}{space 4}-1.596539{col 70}{space 3} .4333114
{txt}{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} 1.483721{col 29}{space 2} .4636338{col 40}{space 1}    3.20{col 49}{space 3}0.001{col 57}{space 4}  .575015{col 70}{space 3} 2.392426
{txt}{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}36  {c |}{col 17}{res}{space 2}-.3704907{col 29}{space 2} .4383463{col 40}{space 1}   -0.85{col 49}{space 3}0.398{col 57}{space 4}-1.229634{col 70}{space 3} .4886522
{txt}{space 12}38  {c |}{col 17}{res}{space 2}-.7909184{col 29}{space 2} .6595965{col 40}{space 1}   -1.20{col 49}{space 3}0.230{col 57}{space 4}-2.083704{col 70}{space 3} .5018669
{txt}{space 12}51  {c |}{col 17}{res}{space 2}-.0311148{col 29}{space 2} .4098999{col 40}{space 1}   -0.08{col 49}{space 3}0.939{col 57}{space 4}-.8345039{col 70}{space 3} .7722742
{txt}{space 12}62  {c |}{col 17}{res}{space 2}-1.365346{col 29}{space 2} .4294063{col 40}{space 1}   -3.18{col 49}{space 3}0.001{col 57}{space 4}-2.206967{col 70}{space 3}-.5237254
{txt}{space 12}69  {c |}{col 17}{res}{space 2} .0116053{col 29}{space 2} .3887496{col 40}{space 1}    0.03{col 49}{space 3}0.976{col 57}{space 4}-.7503299{col 70}{space 3} .7735405
{txt}{space 12}71  {c |}{col 17}{res}{space 2}-.7164073{col 29}{space 2} .4943927{col 40}{space 1}   -1.45{col 49}{space 3}0.147{col 57}{space 4}-1.685399{col 70}{space 3} .2525847
{txt}{space 12}78  {c |}{col 17}{res}{space 2}-.7336086{col 29}{space 2} .5928512{col 40}{space 1}   -1.24{col 49}{space 3}0.216{col 57}{space 4}-1.895576{col 70}{space 3} .4283583
{txt}{space 12}82  {c |}{col 17}{res}{space 2} 1.741472{col 29}{space 2} .4068777{col 40}{space 1}    4.28{col 49}{space 3}0.000{col 57}{space 4} .9440065{col 70}{space 3} 2.538938
{txt}{space 12}85  {c |}{col 17}{res}{space 2}-.8023999{col 29}{space 2} .6595524{col 40}{space 1}   -1.22{col 49}{space 3}0.224{col 57}{space 4}-2.095099{col 70}{space 3} .4902991
{txt}{space 12}98  {c |}{col 17}{res}{space 2} .2611291{col 29}{space 2} .4222525{col 40}{space 1}    0.62{col 49}{space 3}0.536{col 57}{space 4}-.5664707{col 70}{space 3} 1.088729
{txt}{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}120  {c |}{col 17}{res}{space 2} 1.352067{col 29}{space 2} .4237927{col 40}{space 1}    3.19{col 49}{space 3}0.001{col 57}{space 4} .5214483{col 70}{space 3} 2.182685
{txt}{space 11}141  {c |}{col 17}{res}{space 2}-.8960107{col 29}{space 2} .4940035{col 40}{space 1}   -1.81{col 49}{space 3}0.070{col 57}{space 4} -1.86424{col 70}{space 3} .0722183
{txt}{space 11}147  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}150  {c |}{col 17}{res}{space 2}-1.577757{col 29}{space 2}  .592896{col 40}{space 1}   -2.66{col 49}{space 3}0.008{col 57}{space 4}-2.739811{col 70}{space 3}-.4157019
{txt}{space 11}154  {c |}{col 17}{res}{space 2}  .797319{col 29}{space 2} .5509267{col 40}{space 1}    1.45{col 49}{space 3}0.148{col 57}{space 4}-.2824775{col 70}{space 3} 1.877115
{txt}{space 11}159  {c |}{col 17}{res}{space 2}-.8135166{col 29}{space 2} .4380605{col 40}{space 1}   -1.86{col 49}{space 3}0.063{col 57}{space 4}-1.672099{col 70}{space 3} .0450663
{txt}{space 11}170  {c |}{col 17}{res}{space 2}  2.20126{col 29}{space 2} .3886086{col 40}{space 1}    5.66{col 49}{space 3}0.000{col 57}{space 4} 1.439601{col 70}{space 3} 2.962919
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-5.952993{col 29}{space 2} .3473384{col 40}{space 1}  -17.14{col 49}{space 3}0.000{col 57}{space 4}-6.633764{col 70}{space 3}-5.272222
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,949{col 51}{txt}missing .:  {res}0{txt}/{res}200,668

{txt}{col 19}mean:{res}{col 26} 27434.1
{txt}{col 15}std. dev:{res}{col 26}   15722

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6363{col 37}   14029{col 47}   26686{col 57}   41393{col 67}   49689

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}200,668

{txt}{col 19}mean:{res}{col 26} 430.225
{txt}{col 15}std. dev:{res}{col 26} 237.275

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     235{col 47}     436{col 57}     625{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}200,668

{txt}{col 19}mean:{res}{col 26} 285.278
{txt}{col 15}std. dev:{res}{col 26} 134.696

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     304{col 57}     395{col 67}     436
{txt}
{com}. 
. *** Model 4 ***
. logit major_frev $ind $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 219 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -6164.553}  
Iteration 1:{space 3}log likelihood = {res:-5577.3921}  
Iteration 2:{space 3}log likelihood = {res:-4879.2475}  
Iteration 3:{space 3}log likelihood = {res:-4563.4198}  
Iteration 4:{space 3}log likelihood = {res: -4542.439}  
Iteration 5:{space 3}log likelihood = {res:-4506.0479}  
Iteration 6:{space 3}log likelihood = {res:-4506.0477}  
Iteration 7:{space 3}log likelihood = {res:-4506.0477}  
Iteration 8:{space 3}log likelihood = {res:-4506.0476}  
Iteration 9:{space 3}log likelihood = {res:-4506.0476}  
Iteration 10:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4398.8588}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4356.1752}  
Iteration 19:{space 2}log likelihood = {res:-4355.7063}  
Iteration 20:{space 2}log likelihood = {res:-4355.7051}  
Iteration 21:{space 2}log likelihood = {res:-4355.7051}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,990
{txt}{col 49}LR chi2({res}94{txt}){col 67}= {res}   3617.70
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4355.7051{txt}{col 49}Pseudo R2{col 67}= {res}    0.2934

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.223257{col 29}{space 2} .1565125{col 40}{space 1}    7.82{col 49}{space 3}0.000{col 57}{space 4} .9164987{col 70}{space 3} 1.530016
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.1094972{col 29}{space 2} .0136258{col 40}{space 1}   -8.04{col 49}{space 3}0.000{col 57}{space 4}-.1362033{col 70}{space 3}-.0827911
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{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 14 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,648{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 27444.2
{txt}{col 15}std. dev:{res}{col 26} 15689.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6432{col 37}   14046{col 47}   26631{col 57}   41393{col 67}   49691

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26}  424.41
{txt}{col 15}std. dev:{res}{col 26} 236.453

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 287.018
{txt}{col 15}std. dev:{res}{col 26} 134.456

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. *** Model 5 ***
. logit major_frev $ind female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6161.6342}  
Iteration 1:{space 3}log likelihood = {res:-5532.1257}  
Iteration 2:{space 3}log likelihood = {res:-4847.2984}  
Iteration 3:{space 3}log likelihood = {res:-4548.2454}  
Iteration 4:{space 3}log likelihood = {res:-4525.6029}  
Iteration 5:{space 3}log likelihood = {res:-4488.3588}  
Iteration 6:{space 3}log likelihood = {res:-4488.3538}  
Iteration 7:{space 3}log likelihood = {res:-4488.3536}  
Iteration 8:{space 3}log likelihood = {res:-4488.3535}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-4488.3535}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-4488.3535}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4488.3535}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4488.3535}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4488.3535}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4488.3535}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4488.3535}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4488.3535}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4365.5441}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4343.1635}  
Iteration 19:{space 2}log likelihood = {res:-4339.5761}  
Iteration 20:{space 2}log likelihood = {res: -4337.974}  
Iteration 21:{space 2}log likelihood = {res: -4337.967}  
Iteration 22:{space 2}log likelihood = {res: -4337.967}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,408
{txt}{col 49}LR chi2({res}100{txt}){col 67}= {res}   3647.33
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -4337.967{txt}{col 49}Pseudo R2{col 67}= {res}    0.2960

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 1.214075{col 31}{space 2} .1566696{col 42}{space 1}    7.75{col 51}{space 3}0.000{col 59}{space 4}  .907008{col 72}{space 3} 1.521142
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.1092369{col 31}{space 2} .0136215{col 42}{space 1}   -8.02{col 51}{space 3}0.000{col 59}{space 4}-.1359346{col 72}{space 3}-.0825392
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2472357{col 31}{space 2} .0889286{col 42}{space 1}    2.78{col 51}{space 3}0.005{col 59}{space 4} .0729387{col 72}{space 3} .4215326
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.2104953{col 31}{space 2} .1804636{col 42}{space 1}   -1.17{col 51}{space 3}0.243{col 59}{space 4}-.5641974{col 72}{space 3} .1432069
{txt}{space 11}female {c |}{col 19}{res}{space 2} .1021842{col 31}{space 2}  .127494{col 42}{space 1}    0.80{col 51}{space 3}0.423{col 59}{space 4}-.1476995{col 72}{space 3} .3520678
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2}-.7230222{col 31}{space 2}  .216734{col 42}{space 1}   -3.34{col 51}{space 3}0.001{col 59}{space 4}-1.147813{col 72}{space 3}-.2982314
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2} -.142849{col 31}{space 2} .2197362{col 42}{space 1}   -0.65{col 51}{space 3}0.516{col 59}{space 4} -.573524{col 72}{space 3} .2878261
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-3.725218{col 31}{space 2} 2.561643{col 42}{space 1}   -1.45{col 51}{space 3}0.146{col 59}{space 4}-8.745947{col 72}{space 3} 1.295511
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-1.781953{col 31}{space 2} .7616046{col 42}{space 1}   -2.34{col 51}{space 3}0.019{col 59}{space 4}-3.274671{col 72}{space 3}-.2892358
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}-2.298588{col 31}{space 2} .6606877{col 42}{space 1}   -3.48{col 51}{space 3}0.001{col 59}{space 4}-3.593512{col 72}{space 3}-1.003664
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2} 1.709093{col 31}{space 2} .4434943{col 42}{space 1}    3.85{col 51}{space 3}0.000{col 59}{space 4} .8398599{col 72}{space 3} 2.578326
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-2.413174{col 31}{space 2} .6332213{col 42}{space 1}   -3.81{col 51}{space 3}0.000{col 59}{space 4}-3.654265{col 72}{space 3}-1.172084
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} .8170529{col 31}{space 2}  1.10805{col 42}{space 1}    0.74{col 51}{space 3}0.461{col 59}{space 4}-1.354685{col 72}{space 3}  2.98879
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2}-.1599578{col 31}{space 2} .0317168{col 42}{space 1}   -5.04{col 51}{space 3}0.000{col 59}{space 4}-.2221216{col 72}{space 3}-.0977939
{txt}{space 4}yr_since_exit {c |}{col 19}{res}{space 2}-.1841574{col 31}{space 2} .0082496{col 42}{space 1}  -22.32{col 51}{space 3}0.000{col 59}{space 4}-.2003262{col 72}{space 3}-.1679885
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2}  .627003{col 31}{space 2} 1.783605{col 42}{space 1}    0.35{col 51}{space 3}0.725{col 59}{space 4}-2.868799{col 72}{space 3} 4.122805
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2} .4948735{col 31}{space 2}  2.68947{col 42}{space 1}    0.18{col 51}{space 3}0.854{col 59}{space 4} -4.77639{col 72}{space 3} 5.766137
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} .4008072{col 31}{space 2}  1.35432{col 42}{space 1}    0.30{col 51}{space 3}0.767{col 59}{space 4}-2.253612{col 72}{space 3} 3.055226
{txt}{space 14}38  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}51  {c |}{col 19}{res}{space 2} 4.340107{col 31}{space 2} 2.208141{col 42}{space 1}    1.97{col 51}{space 3}0.049{col 59}{space 4} .0122308{col 72}{space 3} 8.667984
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 3.253158{col 31}{space 2} 1.351164{col 42}{space 1}    2.41{col 51}{space 3}0.016{col 59}{space 4} .6049255{col 72}{space 3} 5.901391
{txt}{space 14}69  {c |}{col 19}{res}{space 2} .6194884{col 31}{space 2} 4.351136{col 42}{space 1}    0.14{col 51}{space 3}0.887{col 59}{space 4}-7.908581{col 72}{space 3} 9.147557
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-.8049955{col 31}{space 2} .9017901{col 42}{space 1}   -0.89{col 51}{space 3}0.372{col 59}{space 4}-2.572472{col 72}{space 3} .9624805
{txt}{space 14}78  {c |}{col 19}{res}{space 2} 1.522417{col 31}{space 2} 1.023388{col 42}{space 1}    1.49{col 51}{space 3}0.137{col 59}{space 4}-.4833874{col 72}{space 3} 3.528221
{txt}{space 14}82  {c |}{col 19}{res}{space 2} 5.060234{col 31}{space 2} 1.443652{col 42}{space 1}    3.51{col 51}{space 3}0.000{col 59}{space 4} 2.230728{col 72}{space 3}  7.88974
{txt}{space 14}85  {c |}{col 19}{res}{space 2} 4.060949{col 31}{space 2} 1.693369{col 42}{space 1}    2.40{col 51}{space 3}0.016{col 59}{space 4} .7420071{col 72}{space 3}  7.37989
{txt}{space 14}98  {c |}{col 19}{res}{space 2} 6.119047{col 31}{space 2} 1.430589{col 42}{space 1}    4.28{col 51}{space 3}0.000{col 59}{space 4} 3.315144{col 72}{space 3} 8.922951
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2}  3.30199{col 31}{space 2}  2.07636{col 42}{space 1}    1.59{col 51}{space 3}0.112{col 59}{space 4}-.7676001{col 72}{space 3}  7.37158
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{txt}{space 13}147  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}159  {c |}{col 19}{res}{space 2} 2.756272{col 31}{space 2} 1.269838{col 42}{space 1}    2.17{col 51}{space 3}0.030{col 59}{space 4} .2674351{col 72}{space 3} 5.245109
{txt}{space 13}170  {c |}{col 19}{res}{space 2} 4.474805{col 31}{space 2}  3.05822{col 42}{space 1}    1.46{col 51}{space 3}0.143{col 59}{space 4}-1.519196{col 72}{space 3} 10.46881
{txt}{space 13}174  {c |}{col 19}{res}{space 2} .2789183{col 31}{space 2} 2.450655{col 42}{space 1}    0.11{col 51}{space 3}0.909{col 59}{space 4}-4.524276{col 72}{space 3} 5.082113
{txt}{space 13}180  {c |}{col 19}{res}{space 2} 3.233231{col 31}{space 2} 1.635144{col 42}{space 1}    1.98{col 51}{space 3}0.048{col 59}{space 4} .0284081{col 72}{space 3} 6.438053
{txt}{space 13}182  {c |}{col 19}{res}{space 2} 1.138023{col 31}{space 2} 2.017977{col 42}{space 1}    0.56{col 51}{space 3}0.573{col 59}{space 4}-2.817139{col 72}{space 3} 5.093185
{txt}{space 13}184  {c |}{col 19}{res}{space 2} .4206383{col 31}{space 2} .8795578{col 42}{space 1}    0.48{col 51}{space 3}0.632{col 59}{space 4}-1.303263{col 72}{space 3}  2.14454
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}196  {c |}{col 19}{res}{space 2}  .749872{col 31}{space 2} 1.806288{col 42}{space 1}    0.42{col 51}{space 3}0.678{col 59}{space 4}-2.790388{col 72}{space 3} 4.290132
{txt}{space 13}200  {c |}{col 19}{res}{space 2} 2.815047{col 31}{space 2}  3.92603{col 42}{space 1}    0.72{col 51}{space 3}0.473{col 59}{space 4}-4.879831{col 72}{space 3} 10.50993
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{txt}{space 13}376  {c |}{col 19}{res}{space 2} 2.432324{col 31}{space 2} 1.092173{col 42}{space 1}    2.23{col 51}{space 3}0.026{col 59}{space 4} .2917054{col 72}{space 3} 4.572943
{txt}{space 13}380  {c |}{col 19}{res}{space 2} .6036385{col 31}{space 2} 1.399117{col 42}{space 1}    0.43{col 51}{space 3}0.666{col 59}{space 4} -2.13858{col 72}{space 3} 3.345857
{txt}{space 13}387  {c |}{col 19}{res}{space 2} .5497143{col 31}{space 2} 2.271792{col 42}{space 1}    0.24{col 51}{space 3}0.809{col 59}{space 4}-3.902916{col 72}{space 3} 5.002344
{txt}{space 13}390  {c |}{col 19}{res}{space 2}-1.962628{col 31}{space 2} .9920452{col 42}{space 1}   -1.98{col 51}{space 3}0.048{col 59}{space 4}   -3.907{col 72}{space 3}-.0182547
{txt}{space 13}393  {c |}{col 19}{res}{space 2} .7152988{col 31}{space 2} .9150369{col 42}{space 1}    0.78{col 51}{space 3}0.434{col 59}{space 4}-1.078141{col 72}{space 3} 2.508738
{txt}{space 13}395  {c |}{col 19}{res}{space 2}-3.528728{col 31}{space 2}  1.38676{col 42}{space 1}   -2.54{col 51}{space 3}0.011{col 59}{space 4}-6.246727{col 72}{space 3}-.8107292
{txt}{space 13}398  {c |}{col 19}{res}{space 2} -.142242{col 31}{space 2} 1.639438{col 42}{space 1}   -0.09{col 51}{space 3}0.931{col 59}{space 4}-3.355482{col 72}{space 3} 3.070998
{txt}{space 13}401  {c |}{col 19}{res}{space 2}-2.337087{col 31}{space 2} 1.023751{col 42}{space 1}   -2.28{col 51}{space 3}0.022{col 59}{space 4}-4.343601{col 72}{space 3}-.3305728
{txt}{space 13}402  {c |}{col 19}{res}{space 2} -7.73654{col 31}{space 2} 3.659737{col 42}{space 1}   -2.11{col 51}{space 3}0.035{col 59}{space 4}-14.90949{col 72}{space 3}-.5635867
{txt}{space 13}409  {c |}{col 19}{res}{space 2}  3.42679{col 31}{space 2} .7167039{col 42}{space 1}    4.78{col 51}{space 3}0.000{col 59}{space 4} 2.022077{col 72}{space 3} 4.831504
{txt}{space 13}411  {c |}{col 19}{res}{space 2}-2.536877{col 31}{space 2}  .811848{col 42}{space 1}   -3.12{col 51}{space 3}0.002{col 59}{space 4} -4.12807{col 72}{space 3}-.9456844
{txt}{space 13}417  {c |}{col 19}{res}{space 2} 5.085721{col 31}{space 2} 1.303006{col 42}{space 1}    3.90{col 51}{space 3}0.000{col 59}{space 4} 2.531876{col 72}{space 3} 7.639565
{txt}{space 13}419  {c |}{col 19}{res}{space 2} 4.494214{col 31}{space 2} 2.382033{col 42}{space 1}    1.89{col 51}{space 3}0.059{col 59}{space 4}-.1744854{col 72}{space 3} 9.162913
{txt}{space 13}428  {c |}{col 19}{res}{space 2}-.5463272{col 31}{space 2} 1.370378{col 42}{space 1}   -0.40{col 51}{space 3}0.690{col 59}{space 4}-3.232219{col 72}{space 3} 2.139565
{txt}{space 13}436  {c |}{col 19}{res}{space 2}-1.864486{col 31}{space 2}  1.06656{col 42}{space 1}   -1.75{col 51}{space 3}0.080{col 59}{space 4}-3.954905{col 72}{space 3} .2259331
{txt}{space 13}439  {c |}{col 19}{res}{space 2}-.1470212{col 31}{space 2} .5922232{col 42}{space 1}   -0.25{col 51}{space 3}0.804{col 59}{space 4}-1.307757{col 72}{space 3} 1.013715
{txt}{space 13}441  {c |}{col 19}{res}{space 2}-.4248501{col 31}{space 2}  .848993{col 42}{space 1}   -0.50{col 51}{space 3}0.617{col 59}{space 4}-2.088846{col 72}{space 3} 1.239146
{txt}{space 13}448  {c |}{col 19}{res}{space 2} 3.209768{col 31}{space 2} 2.465465{col 42}{space 1}    1.30{col 51}{space 3}0.193{col 59}{space 4}-1.622455{col 72}{space 3} 8.041991
{txt}{space 13}464  {c |}{col 19}{res}{space 2}-3.666335{col 31}{space 2} 1.272337{col 42}{space 1}   -2.88{col 51}{space 3}0.004{col 59}{space 4}-6.160069{col 72}{space 3}-1.172602
{txt}{space 13}472  {c |}{col 19}{res}{space 2} 3.031518{col 31}{space 2} 3.198514{col 42}{space 1}    0.95{col 51}{space 3}0.343{col 59}{space 4}-3.237453{col 72}{space 3}  9.30049
{txt}{space 13}474  {c |}{col 19}{res}{space 2} 1.687848{col 31}{space 2} 3.370057{col 42}{space 1}    0.50{col 51}{space 3}0.616{col 59}{space 4}-4.917342{col 72}{space 3} 8.293037
{txt}{space 13}476  {c |}{col 19}{res}{space 2}   .24443{col 31}{space 2}  3.46316{col 42}{space 1}    0.07{col 51}{space 3}0.944{col 59}{space 4} -6.54324{col 72}{space 3}   7.0321
{txt}{space 13}478  {c |}{col 19}{res}{space 2}-2.164261{col 31}{space 2} 3.712531{col 42}{space 1}   -0.58{col 51}{space 3}0.560{col 59}{space 4}-9.440689{col 72}{space 3} 5.112166
{txt}{space 13}483  {c |}{col 19}{res}{space 2}-1.657798{col 31}{space 2} .7502232{col 42}{space 1}   -2.21{col 51}{space 3}0.027{col 59}{space 4}-3.128208{col 72}{space 3}-.1873871
{txt}{space 13}490  {c |}{col 19}{res}{space 2}-1.356917{col 31}{space 2} 3.306799{col 42}{space 1}   -0.41{col 51}{space 3}0.682{col 59}{space 4}-7.838124{col 72}{space 3}  5.12429
{txt}{space 13}505  {c |}{col 19}{res}{space 2}-2.858114{col 31}{space 2} 1.539339{col 42}{space 1}   -1.86{col 51}{space 3}0.063{col 59}{space 4}-5.875162{col 72}{space 3} .1589345
{txt}{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}525  {c |}{col 19}{res}{space 2}  .369879{col 31}{space 2}  1.35596{col 42}{space 1}    0.27{col 51}{space 3}0.785{col 59}{space 4}-2.287753{col 72}{space 3} 3.027511
{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} -23.3887{col 31}{space 2} 12.45064{col 42}{space 1}   -1.88{col 51}{space 3}0.060{col 59}{space 4}-47.79151{col 72}{space 3} 1.014101
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 9 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,622{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 27442.6
{txt}{col 15}std. dev:{res}{col 26} 15689.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6431{col 37}   14048{col 47}   26631{col 57}   41393{col 67}   49689

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 423.943
{txt}{col 15}std. dev:{res}{col 26} 236.515

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 286.633
{txt}{col 15}std. dev:{res}{col 26} 134.396

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. ******************************************
. ********Figures 4, 5, 6 and 7*************
. ******************************************
. 
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. 
. *** Figure 4 ***
. logit major_frev $ind $pre dem_const i.female i.coldwar $macro i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3897.6473}  
Iteration 1:{space 3}log likelihood = {res:-2822.7448}  
Iteration 2:{space 3}log likelihood = {res:-2635.9742}  
Iteration 3:{space 3}log likelihood = {res:-2309.3195}  
Iteration 4:{space 3}log likelihood = {res:-2200.5775}  
Iteration 5:{space 3}log likelihood = {res: -2179.778}  
Iteration 6:{space 3}log likelihood = {res:-2179.5192}  
Iteration 7:{space 3}log likelihood = {res:-2179.5189}  
Iteration 8:{space 3}log likelihood = {res:-2179.5189}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,909
{txt}{col 49}LR chi2({res}100{txt}){col 67}= {res}   3436.26
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2179.5189{txt}{col 49}Pseudo R2{col 67}= {res}    0.4408

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 2.146116{col 31}{space 2} .2186681{col 42}{space 1}    9.81{col 51}{space 3}0.000{col 59}{space 4} 1.717534{col 72}{space 3} 2.574697
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}  -.11114{col 31}{space 2} .0163228{col 42}{space 1}   -6.81{col 51}{space 3}0.000{col 59}{space 4}-.1431322{col 72}{space 3}-.0791478
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2988105{col 31}{space 2} .1144344{col 42}{space 1}    2.61{col 51}{space 3}0.009{col 59}{space 4} .0745232{col 72}{space 3} .5230977
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.2336999{col 31}{space 2}  .234079{col 42}{space 1}   -1.00{col 51}{space 3}0.318{col 59}{space 4}-.6924864{col 72}{space 3} .2250865
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-59.36887{col 31}{space 2} 5.075597{col 42}{space 1}  -11.70{col 51}{space 3}0.000{col 59}{space 4}-69.31686{col 72}{space 3}-49.42088
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-16.26181{col 31}{space 2} 1.535695{col 42}{space 1}  -10.59{col 51}{space 3}0.000{col 59}{space 4}-19.27172{col 72}{space 3}-13.25191
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2} 5.209602{col 31}{space 2} .8605912{col 42}{space 1}    6.05{col 51}{space 3}0.000{col 59}{space 4} 3.522874{col 72}{space 3}  6.89633
{txt}{space 8}dem_const {c |}{col 19}{res}{space 2}-2.132087{col 31}{space 2} .4977717{col 42}{space 1}   -4.28{col 51}{space 3}0.000{col 59}{space 4}-3.107702{col 72}{space 3}-1.156472
{txt}{space 9}1.female {c |}{col 19}{res}{space 2} .4556963{col 31}{space 2} .1635379{col 42}{space 1}    2.79{col 51}{space 3}0.005{col 59}{space 4} .1351678{col 72}{space 3} .7762247
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2} -.966915{col 31}{space 2} .6713045{col 42}{space 1}   -1.44{col 51}{space 3}0.150{col 59}{space 4}-2.282648{col 72}{space 3} .3488177
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}-10.60143{col 31}{space 2} .9565981{col 42}{space 1}  -11.08{col 51}{space 3}0.000{col 59}{space 4}-12.47632{col 72}{space 3}-8.726528
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-1.734153{col 31}{space 2} 4.085515{col 42}{space 1}   -0.42{col 51}{space 3}0.671{col 59}{space 4}-9.741616{col 72}{space 3} 6.273309
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} -34.8219{col 31}{space 2} 1.895152{col 42}{space 1}  -18.37{col 51}{space 3}0.000{col 59}{space 4}-38.53633{col 72}{space 3}-31.10747
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2}-47.83291{col 31}{space 2} 3.346631{col 42}{space 1}  -14.29{col 51}{space 3}0.000{col 59}{space 4}-54.39219{col 72}{space 3}-41.27364
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2}-67.24947{col 31}{space 2} 5.459476{col 42}{space 1}  -12.32{col 51}{space 3}0.000{col 59}{space 4}-77.94984{col 72}{space 3}-56.54909
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} 40.85544{col 31}{space 2} 2.513584{col 42}{space 1}   16.25{col 51}{space 3}0.000{col 59}{space 4}  35.9289{col 72}{space 3} 45.78197
{txt}{space 14}38  {c |}{col 19}{res}{space 2} 116.7192{col 31}{space 2} 8.017885{col 42}{space 1}   14.56{col 51}{space 3}0.000{col 59}{space 4} 101.0044{col 72}{space 3} 132.4339
{txt}{space 14}51  {c |}{col 19}{res}{space 2}-58.67821{col 31}{space 2} 3.415919{col 42}{space 1}  -17.18{col 51}{space 3}0.000{col 59}{space 4}-65.37329{col 72}{space 3}-51.98313
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 17.64472{col 31}{space 2} 3.774213{col 42}{space 1}    4.68{col 51}{space 3}0.000{col 59}{space 4}  10.2474{col 72}{space 3} 25.04204
{txt}{space 14}69  {c |}{col 19}{res}{space 2} 134.2841{col 31}{space 2} 7.687075{col 42}{space 1}   17.47{col 51}{space 3}0.000{col 59}{space 4} 119.2177{col 72}{space 3} 149.3505
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-8.487435{col 31}{space 2} 2.093877{col 42}{space 1}   -4.05{col 51}{space 3}0.000{col 59}{space 4}-12.59136{col 72}{space 3}-4.383511
{txt}{space 14}78  {c |}{col 19}{res}{space 2}-23.84505{col 31}{space 2} 1.238603{col 42}{space 1}  -19.25{col 51}{space 3}0.000{col 59}{space 4}-26.27267{col 72}{space 3}-21.41743
{txt}{space 14}82  {c |}{col 19}{res}{space 2}-1.484221{col 31}{space 2} 3.041217{col 42}{space 1}   -0.49{col 51}{space 3}0.626{col 59}{space 4}-7.444897{col 72}{space 3} 4.476456
{txt}{space 14}85  {c |}{col 19}{res}{space 2} 3.110232{col 31}{space 2} 3.669762{col 42}{space 1}    0.85{col 51}{space 3}0.397{col 59}{space 4} -4.08237{col 72}{space 3} 10.30283
{txt}{space 14}98  {c |}{col 19}{res}{space 2}-21.74274{col 31}{space 2}  2.93502{col 42}{space 1}   -7.41{col 51}{space 3}0.000{col 59}{space 4}-27.49527{col 72}{space 3} -15.9902
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2}-67.55243{col 31}{space 2} 3.320768{col 42}{space 1}  -20.34{col 51}{space 3}0.000{col 59}{space 4}-74.06102{col 72}{space 3}-61.04385
{txt}{space 13}141  {c |}{col 19}{res}{space 2}  -37.001{col 31}{space 2} 3.716772{col 42}{space 1}   -9.96{col 51}{space 3}0.000{col 59}{space 4}-44.28574{col 72}{space 3}-29.71626
{txt}{space 13}147  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2} 38.93795{col 31}{space 2} 3.996971{col 42}{space 1}    9.74{col 51}{space 3}0.000{col 59}{space 4} 31.10403{col 72}{space 3} 46.77187
{txt}{space 13}154  {c |}{col 19}{res}{space 2} 113.1691{col 31}{space 2} 6.365729{col 42}{space 1}   17.78{col 51}{space 3}0.000{col 59}{space 4} 100.6925{col 72}{space 3} 125.6457
{txt}{space 13}159  {c |}{col 19}{res}{space 2}  14.3201{col 31}{space 2} 2.160295{col 42}{space 1}    6.63{col 51}{space 3}0.000{col 59}{space 4}   10.086{col 72}{space 3}  18.5542
{txt}{space 13}170  {c |}{col 19}{res}{space 2}-93.09209{col 31}{space 2} 5.197816{col 42}{space 1}  -17.91{col 51}{space 3}0.000{col 59}{space 4}-103.2796{col 72}{space 3}-82.90455
{txt}{space 13}174  {c |}{col 19}{res}{space 2} -59.5052{col 31}{space 2} 4.609633{col 42}{space 1}  -12.91{col 51}{space 3}0.000{col 59}{space 4}-68.53991{col 72}{space 3}-50.47048
{txt}{space 13}180  {c |}{col 19}{res}{space 2} 21.26353{col 31}{space 2} 3.109962{col 42}{space 1}    6.84{col 51}{space 3}0.000{col 59}{space 4} 15.16812{col 72}{space 3} 27.35895
{txt}{space 13}182  {c |}{col 19}{res}{space 2} 23.72986{col 31}{space 2} 3.673302{col 42}{space 1}    6.46{col 51}{space 3}0.000{col 59}{space 4} 16.53032{col 72}{space 3}  30.9294
{txt}{space 13}184  {c |}{col 19}{res}{space 2}-10.65291{col 31}{space 2} 1.210847{col 42}{space 1}   -8.80{col 51}{space 3}0.000{col 59}{space 4}-13.02613{col 72}{space 3}-8.279694
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}196  {c |}{col 19}{res}{space 2} 36.93498{col 31}{space 2} 3.188124{col 42}{space 1}   11.59{col 51}{space 3}0.000{col 59}{space 4} 30.68637{col 72}{space 3} 43.18359
{txt}{space 13}200  {c |}{col 19}{res}{space 2}-121.4068{col 31}{space 2} 6.331039{col 42}{space 1}  -19.18{col 51}{space 3}0.000{col 59}{space 4}-133.8155{col 72}{space 3}-108.9982
{txt}{space 13}203  {c |}{col 19}{res}{space 2}-113.5731{col 31}{space 2} 5.946675{col 42}{space 1}  -19.10{col 51}{space 3}0.000{col 59}{space 4}-125.2284{col 72}{space 3}-101.9178
{txt}{space 13}205  {c |}{col 19}{res}{space 2}-41.50702{col 31}{space 2} 2.432204{col 42}{space 1}  -17.07{col 51}{space 3}0.000{col 59}{space 4}-46.27406{col 72}{space 3}-36.73999
{txt}{space 13}209  {c |}{col 19}{res}{space 2}-41.99379{col 31}{space 2} 2.124548{col 42}{space 1}  -19.77{col 51}{space 3}0.000{col 59}{space 4}-46.15783{col 72}{space 3}-37.82975
{txt}{space 13}217  {c |}{col 19}{res}{space 2}  10.0303{col 31}{space 2}  2.95595{col 42}{space 1}    3.39{col 51}{space 3}0.001{col 59}{space 4} 4.236749{col 72}{space 3} 15.82386
{txt}{space 13}219  {c |}{col 19}{res}{space 2} 12.37106{col 31}{space 2} 3.082852{col 42}{space 1}    4.01{col 51}{space 3}0.000{col 59}{space 4} 6.328784{col 72}{space 3} 18.41334
{txt}{space 13}222  {c |}{col 19}{res}{space 2}-44.06807{col 31}{space 2} 2.346416{col 42}{space 1}  -18.78{col 51}{space 3}0.000{col 59}{space 4}-48.66696{col 72}{space 3}-39.46918
{txt}{space 13}227  {c |}{col 19}{res}{space 2}-60.43495{col 31}{space 2}  3.22143{col 42}{space 1}  -18.76{col 51}{space 3}0.000{col 59}{space 4}-66.74884{col 72}{space 3}-54.12107
{txt}{space 13}229  {c |}{col 19}{res}{space 2} 9.658777{col 31}{space 2} 2.576396{col 42}{space 1}    3.75{col 51}{space 3}0.000{col 59}{space 4} 4.609133{col 72}{space 3} 14.70842
{txt}{space 13}232  {c |}{col 19}{res}{space 2} 2.998455{col 31}{space 2} 1.850907{col 42}{space 1}    1.62{col 51}{space 3}0.105{col 59}{space 4}-.6292572{col 72}{space 3} 6.626167
{txt}{space 13}238  {c |}{col 19}{res}{space 2} 96.42971{col 31}{space 2} 5.021151{col 42}{space 1}   19.20{col 51}{space 3}0.000{col 59}{space 4} 86.58844{col 72}{space 3}  106.271
{txt}{space 13}248  {c |}{col 19}{res}{space 2} 43.59754{col 31}{space 2} 1.735399{col 42}{space 1}   25.12{col 51}{space 3}0.000{col 59}{space 4} 40.19622{col 72}{space 3} 46.99886
{txt}{space 13}255  {c |}{col 19}{res}{space 2}-6.684404{col 31}{space 2} 1.137745{col 42}{space 1}   -5.88{col 51}{space 3}0.000{col 59}{space 4}-8.914343{col 72}{space 3}-4.454465
{txt}{space 13}260  {c |}{col 19}{res}{space 2} 33.14728{col 31}{space 2}  2.14347{col 42}{space 1}   15.46{col 51}{space 3}0.000{col 59}{space 4} 28.94616{col 72}{space 3} 37.34841
{txt}{space 13}265  {c |}{col 19}{res}{space 2} 99.76676{col 31}{space 2} 5.153919{col 42}{space 1}   19.36{col 51}{space 3}0.000{col 59}{space 4} 89.66526{col 72}{space 3} 109.8683
{txt}{space 13}270  {c |}{col 19}{res}{space 2}-53.31018{col 31}{space 2} 3.791881{col 42}{space 1}  -14.06{col 51}{space 3}0.000{col 59}{space 4}-60.74213{col 72}{space 3}-45.87823
{txt}{space 13}280  {c |}{col 19}{res}{space 2}-37.07161{col 31}{space 2} 4.161209{col 42}{space 1}   -8.91{col 51}{space 3}0.000{col 59}{space 4}-45.22743{col 72}{space 3}-28.91579
{txt}{space 13}284  {c |}{col 19}{res}{space 2}-32.15082{col 31}{space 2} 2.083936{col 42}{space 1}  -15.43{col 51}{space 3}0.000{col 59}{space 4}-36.23525{col 72}{space 3}-28.06638
{txt}{space 13}290  {c |}{col 19}{res}{space 2}-85.89674{col 31}{space 2} 3.966181{col 42}{space 1}  -21.66{col 51}{space 3}0.000{col 59}{space 4}-93.67032{col 72}{space 3}-78.12317
{txt}{space 13}300  {c |}{col 19}{res}{space 2}-32.57929{col 31}{space 2} 1.680157{col 42}{space 1}  -19.39{col 51}{space 3}0.000{col 59}{space 4}-35.87233{col 72}{space 3}-29.28624
{txt}{space 13}302  {c |}{col 19}{res}{space 2}-15.23056{col 31}{space 2} .7661971{col 42}{space 1}  -19.88{col 51}{space 3}0.000{col 59}{space 4}-16.73228{col 72}{space 3}-13.72885
{txt}{space 13}304  {c |}{col 19}{res}{space 2}-42.79182{col 31}{space 2}  2.15771{col 42}{space 1}  -19.83{col 51}{space 3}0.000{col 59}{space 4}-47.02085{col 72}{space 3}-38.56278
{txt}{space 13}306  {c |}{col 19}{res}{space 2}  46.5707{col 31}{space 2}  1.93823{col 42}{space 1}   24.03{col 51}{space 3}0.000{col 59}{space 4} 42.77184{col 72}{space 3} 50.36956
{txt}{space 13}310  {c |}{col 19}{res}{space 2}-45.93292{col 31}{space 2} 2.107871{col 42}{space 1}  -21.79{col 51}{space 3}0.000{col 59}{space 4}-50.06427{col 72}{space 3}-41.80157
{txt}{space 13}312  {c |}{col 19}{res}{space 2} 39.08556{col 31}{space 2} 4.456366{col 42}{space 1}    8.77{col 51}{space 3}0.000{col 59}{space 4} 30.35125{col 72}{space 3} 47.81988
{txt}{space 13}316  {c |}{col 19}{res}{space 2}-14.25463{col 31}{space 2} 1.932679{col 42}{space 1}   -7.38{col 51}{space 3}0.000{col 59}{space 4}-18.04261{col 72}{space 3}-10.46665
{txt}{space 13}320  {c |}{col 19}{res}{space 2} 82.78611{col 31}{space 2} 3.564581{col 42}{space 1}   23.22{col 51}{space 3}0.000{col 59}{space 4} 75.79966{col 72}{space 3} 89.77256
{txt}{space 13}323  {c |}{col 19}{res}{space 2}-63.43691{col 31}{space 2}  3.70433{col 42}{space 1}  -17.13{col 51}{space 3}0.000{col 59}{space 4}-70.69726{col 72}{space 3}-56.17656
{txt}{space 13}334  {c |}{col 19}{res}{space 2}-13.79736{col 31}{space 2} .7885274{col 42}{space 1}  -17.50{col 51}{space 3}0.000{col 59}{space 4}-15.34284{col 72}{space 3}-12.25187
{txt}{space 13}336  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}341  {c |}{col 19}{res}{space 2}-44.08215{col 31}{space 2} 2.527882{col 42}{space 1}  -17.44{col 51}{space 3}0.000{col 59}{space 4}-49.03671{col 72}{space 3}-39.12759
{txt}{space 13}346  {c |}{col 19}{res}{space 2}  10.4099{col 31}{space 2} 4.103258{col 42}{space 1}    2.54{col 51}{space 3}0.011{col 59}{space 4} 2.367663{col 72}{space 3} 18.45214
{txt}{space 13}348  {c |}{col 19}{res}{space 2}-42.70913{col 31}{space 2} 1.973306{col 42}{space 1}  -21.64{col 51}{space 3}0.000{col 59}{space 4}-46.57674{col 72}{space 3}-38.84152
{txt}{space 13}351  {c |}{col 19}{res}{space 2} 37.24145{col 31}{space 2} 4.982092{col 42}{space 1}    7.48{col 51}{space 3}0.000{col 59}{space 4} 27.47673{col 72}{space 3} 47.00617
{txt}{space 13}354  {c |}{col 19}{res}{space 2} 102.7156{col 31}{space 2} 6.416415{col 42}{space 1}   16.01{col 51}{space 3}0.000{col 59}{space 4} 90.13962{col 72}{space 3} 115.2915
{txt}{space 13}357  {c |}{col 19}{res}{space 2}  122.163{col 31}{space 2} 7.829956{col 42}{space 1}   15.60{col 51}{space 3}0.000{col 59}{space 4} 106.8165{col 72}{space 3} 137.5094
{txt}{space 13}362  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}365  {c |}{col 19}{res}{space 2} 110.2189{col 31}{space 2} 7.473662{col 42}{space 1}   14.75{col 51}{space 3}0.000{col 59}{space 4} 95.57075{col 72}{space 3}  124.867
{txt}{space 13}367  {c |}{col 19}{res}{space 2} 134.0943{col 31}{space 2} 8.154789{col 42}{space 1}   16.44{col 51}{space 3}0.000{col 59}{space 4} 118.1112{col 72}{space 3} 150.0773
{txt}{space 13}376  {c |}{col 19}{res}{space 2}-.3427937{col 31}{space 2} 1.690422{col 42}{space 1}   -0.20{col 51}{space 3}0.839{col 59}{space 4}-3.655961{col 72}{space 3} 2.970373
{txt}{space 13}380  {c |}{col 19}{res}{space 2} -36.5167{col 31}{space 2} 2.547549{col 42}{space 1}  -14.33{col 51}{space 3}0.000{col 59}{space 4} -41.5098{col 72}{space 3}-31.52359
{txt}{space 13}387  {c |}{col 19}{res}{space 2} 51.82059{col 31}{space 2} 4.132343{col 42}{space 1}   12.54{col 51}{space 3}0.000{col 59}{space 4} 43.72135{col 72}{space 3} 59.91984
{txt}{space 13}390  {c |}{col 19}{res}{space 2} 6.550931{col 31}{space 2} 1.926227{col 42}{space 1}    3.40{col 51}{space 3}0.001{col 59}{space 4} 2.775596{col 72}{space 3} 10.32627
{txt}{space 13}393  {c |}{col 19}{res}{space 2} 32.70323{col 31}{space 2} 1.854932{col 42}{space 1}   17.63{col 51}{space 3}0.000{col 59}{space 4} 29.06763{col 72}{space 3} 36.33883
{txt}{space 13}395  {c |}{col 19}{res}{space 2}  46.9122{col 31}{space 2} 1.936577{col 42}{space 1}   24.22{col 51}{space 3}0.000{col 59}{space 4} 43.11658{col 72}{space 3} 50.70783
{txt}{space 13}398  {c |}{col 19}{res}{space 2}-20.96555{col 31}{space 2} 3.669291{col 42}{space 1}   -5.71{col 51}{space 3}0.000{col 59}{space 4}-28.15723{col 72}{space 3}-13.77387
{txt}{space 13}401  {c |}{col 19}{res}{space 2} 24.02313{col 31}{space 2} 1.331756{col 42}{space 1}   18.04{col 51}{space 3}0.000{col 59}{space 4} 21.41294{col 72}{space 3} 26.63332
{txt}{space 13}402  {c |}{col 19}{res}{space 2} 106.5517{col 31}{space 2} 4.675344{col 42}{space 1}   22.79{col 51}{space 3}0.000{col 59}{space 4} 97.38824{col 72}{space 3} 115.7153
{txt}{space 13}409  {c |}{col 19}{res}{space 2} -11.7717{col 31}{space 2} 1.090662{col 42}{space 1}  -10.79{col 51}{space 3}0.000{col 59}{space 4}-13.90936{col 72}{space 3}-9.634045
{txt}{space 13}411  {c |}{col 19}{res}{space 2}-11.89981{col 31}{space 2} 1.980758{col 42}{space 1}   -6.01{col 51}{space 3}0.000{col 59}{space 4}-15.78202{col 72}{space 3}-8.017594
{txt}{space 13}417  {c |}{col 19}{res}{space 2}-10.14665{col 31}{space 2}  2.63419{col 42}{space 1}   -3.85{col 51}{space 3}0.000{col 59}{space 4}-15.30957{col 72}{space 3}-4.983737
{txt}{space 13}419  {c |}{col 19}{res}{space 2}-68.06675{col 31}{space 2} 3.399541{col 42}{space 1}  -20.02{col 51}{space 3}0.000{col 59}{space 4}-74.72973{col 72}{space 3}-61.40378
{txt}{space 13}428  {c |}{col 19}{res}{space 2} 53.17268{col 31}{space 2} 2.118509{col 42}{space 1}   25.10{col 51}{space 3}0.000{col 59}{space 4} 49.02047{col 72}{space 3} 57.32488
{txt}{space 13}436  {c |}{col 19}{res}{space 2} 29.87643{col 31}{space 2} 2.202801{col 42}{space 1}   13.56{col 51}{space 3}0.000{col 59}{space 4} 25.55901{col 72}{space 3} 34.19384
{txt}{space 13}439  {c |}{col 19}{res}{space 2} 11.49881{col 31}{space 2} .6702509{col 42}{space 1}   17.16{col 51}{space 3}0.000{col 59}{space 4} 10.18514{col 72}{space 3} 12.81248
{txt}{space 13}441  {c |}{col 19}{res}{space 2} 25.22718{col 31}{space 2} 1.157902{col 42}{space 1}   21.79{col 51}{space 3}0.000{col 59}{space 4} 22.95773{col 72}{space 3} 27.49662
{txt}{space 13}448  {c |}{col 19}{res}{space 2} 50.89491{col 31}{space 2} 4.922336{col 42}{space 1}   10.34{col 51}{space 3}0.000{col 59}{space 4} 41.24731{col 72}{space 3} 60.54251
{txt}{space 13}464  {c |}{col 19}{res}{space 2} 38.52916{col 31}{space 2} 2.126784{col 42}{space 1}   18.12{col 51}{space 3}0.000{col 59}{space 4} 34.36073{col 72}{space 3} 42.69758
{txt}{space 13}472  {c |}{col 19}{res}{space 2} 78.54337{col 31}{space 2} 5.838899{col 42}{space 1}   13.45{col 51}{space 3}0.000{col 59}{space 4} 67.09933{col 72}{space 3}  89.9874
{txt}{space 13}474  {c |}{col 19}{res}{space 2} 93.53144{col 31}{space 2} 5.988198{col 42}{space 1}   15.62{col 51}{space 3}0.000{col 59}{space 4} 81.79479{col 72}{space 3} 105.2681
{txt}{space 13}476  {c |}{col 19}{res}{space 2} 101.1127{col 31}{space 2} 5.924326{col 42}{space 1}   17.07{col 51}{space 3}0.000{col 59}{space 4} 89.50119{col 72}{space 3} 112.7241
{txt}{space 13}478  {c |}{col 19}{res}{space 2} 106.0128{col 31}{space 2} 5.923144{col 42}{space 1}   17.90{col 51}{space 3}0.000{col 59}{space 4} 94.40362{col 72}{space 3} 117.6219
{txt}{space 13}483  {c |}{col 19}{res}{space 2} 2.085307{col 31}{space 2} 1.503681{col 42}{space 1}    1.39{col 51}{space 3}0.166{col 59}{space 4}-.8618536{col 72}{space 3} 5.032468
{txt}{space 13}490  {c |}{col 19}{res}{space 2} 97.93471{col 31}{space 2} 5.623347{col 42}{space 1}   17.42{col 51}{space 3}0.000{col 59}{space 4} 86.91315{col 72}{space 3} 108.9563
{txt}{space 13}505  {c |}{col 19}{res}{space 2} 48.84485{col 31}{space 2}  1.96076{col 42}{space 1}   24.91{col 51}{space 3}0.000{col 59}{space 4} 45.00183{col 72}{space 3} 52.68787
{txt}{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}525  {c |}{col 19}{res}{space 2}-33.04964{col 31}{space 2} 1.558828{col 42}{space 1}  -21.20{col 51}{space 3}0.000{col 59}{space 4}-36.10489{col 72}{space 3} -29.9944
{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 434.1869{col 31}{space 2}   18.276{col 42}{space 1}   23.76{col 51}{space 3}0.000{col 59}{space 4} 398.3666{col 72}{space 3} 470.0072
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, dydx(prev_core NUML_aut prev_prestige_2 prev_military) post
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}    15,909
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(major_frev), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:prev_core NUML_aut prev_prestige_2 prev_military}{p_end}
{p2colreset}{...}

{res}{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29} Delta-method
{col 17}{c |}      dy/dx{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} .0753651{col 29}{space 2} .0078314{col 40}{space 1}    9.62{col 49}{space 3}0.000{col 57}{space 4} .0600158{col 70}{space 3} .0907145
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.0039029{col 29}{space 2} .0005792{col 40}{space 1}   -6.74{col 49}{space 3}0.000{col 57}{space 4}-.0050381{col 70}{space 3}-.0027677
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .0104933{col 29}{space 2} .0040247{col 40}{space 1}    2.61{col 49}{space 3}0.009{col 57}{space 4} .0026051{col 70}{space 3} .0183816
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.0082068{col 29}{space 2}  .008223{col 40}{space 1}   -1.00{col 49}{space 3}0.318{col 57}{space 4}-.0243237{col 70}{space 3}   .00791
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store m1
{txt}
{com}. coefplot m1, ///
>                  keep(prev_core NUML_aut prev_prestige_2 prev_military) xline(0, lcolor(red)) ///
>                  legend(rows(2) position(6)) title("Average Marginal Effects") title("") ///
>                   xlabel(-.04(.02).10) legend(off) /// 
>                  scheme(plotplain)
{res}{txt}
{com}. 
. *** Figure 5 ***
. logit major_frev $ind $pre dem_const i.female i.coldwar $macro i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3897.6473}  
Iteration 1:{space 3}log likelihood = {res:-2822.7448}  
Iteration 2:{space 3}log likelihood = {res:-2635.9742}  
Iteration 3:{space 3}log likelihood = {res:-2309.3195}  
Iteration 4:{space 3}log likelihood = {res:-2200.5775}  
Iteration 5:{space 3}log likelihood = {res: -2179.778}  
Iteration 6:{space 3}log likelihood = {res:-2179.5192}  
Iteration 7:{space 3}log likelihood = {res:-2179.5189}  
Iteration 8:{space 3}log likelihood = {res:-2179.5189}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,909
{txt}{col 49}LR chi2({res}100{txt}){col 67}= {res}   3436.26
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2179.5189{txt}{col 49}Pseudo R2{col 67}= {res}    0.4408

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 2.146116{col 31}{space 2} .2186681{col 42}{space 1}    9.81{col 51}{space 3}0.000{col 59}{space 4} 1.717534{col 72}{space 3} 2.574697
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}  -.11114{col 31}{space 2} .0163228{col 42}{space 1}   -6.81{col 51}{space 3}0.000{col 59}{space 4}-.1431322{col 72}{space 3}-.0791478
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2988105{col 31}{space 2} .1144344{col 42}{space 1}    2.61{col 51}{space 3}0.009{col 59}{space 4} .0745232{col 72}{space 3} .5230977
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.2336999{col 31}{space 2}  .234079{col 42}{space 1}   -1.00{col 51}{space 3}0.318{col 59}{space 4}-.6924864{col 72}{space 3} .2250865
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-59.36887{col 31}{space 2} 5.075597{col 42}{space 1}  -11.70{col 51}{space 3}0.000{col 59}{space 4}-69.31686{col 72}{space 3}-49.42088
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-16.26181{col 31}{space 2} 1.535695{col 42}{space 1}  -10.59{col 51}{space 3}0.000{col 59}{space 4}-19.27172{col 72}{space 3}-13.25191
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2} 5.209602{col 31}{space 2} .8605912{col 42}{space 1}    6.05{col 51}{space 3}0.000{col 59}{space 4} 3.522874{col 72}{space 3}  6.89633
{txt}{space 8}dem_const {c |}{col 19}{res}{space 2}-2.132087{col 31}{space 2} .4977717{col 42}{space 1}   -4.28{col 51}{space 3}0.000{col 59}{space 4}-3.107702{col 72}{space 3}-1.156472
{txt}{space 9}1.female {c |}{col 19}{res}{space 2} .4556963{col 31}{space 2} .1635379{col 42}{space 1}    2.79{col 51}{space 3}0.005{col 59}{space 4} .1351678{col 72}{space 3} .7762247
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2} -.966915{col 31}{space 2} .6713045{col 42}{space 1}   -1.44{col 51}{space 3}0.150{col 59}{space 4}-2.282648{col 72}{space 3} .3488177
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}-10.60143{col 31}{space 2} .9565981{col 42}{space 1}  -11.08{col 51}{space 3}0.000{col 59}{space 4}-12.47632{col 72}{space 3}-8.726528
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-1.734153{col 31}{space 2} 4.085515{col 42}{space 1}   -0.42{col 51}{space 3}0.671{col 59}{space 4}-9.741616{col 72}{space 3} 6.273309
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} -34.8219{col 31}{space 2} 1.895152{col 42}{space 1}  -18.37{col 51}{space 3}0.000{col 59}{space 4}-38.53633{col 72}{space 3}-31.10747
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2}-47.83291{col 31}{space 2} 3.346631{col 42}{space 1}  -14.29{col 51}{space 3}0.000{col 59}{space 4}-54.39219{col 72}{space 3}-41.27364
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2}-67.24947{col 31}{space 2} 5.459476{col 42}{space 1}  -12.32{col 51}{space 3}0.000{col 59}{space 4}-77.94984{col 72}{space 3}-56.54909
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} 40.85544{col 31}{space 2} 2.513584{col 42}{space 1}   16.25{col 51}{space 3}0.000{col 59}{space 4}  35.9289{col 72}{space 3} 45.78197
{txt}{space 14}38  {c |}{col 19}{res}{space 2} 116.7192{col 31}{space 2} 8.017885{col 42}{space 1}   14.56{col 51}{space 3}0.000{col 59}{space 4} 101.0044{col 72}{space 3} 132.4339
{txt}{space 14}51  {c |}{col 19}{res}{space 2}-58.67821{col 31}{space 2} 3.415919{col 42}{space 1}  -17.18{col 51}{space 3}0.000{col 59}{space 4}-65.37329{col 72}{space 3}-51.98313
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{space 17} {c |}
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{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, at(NUML_aut=(1(3)37))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}    15,909
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(major_frev), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}     Margin{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0765498{col 26}{space 2} .0022554{col 37}{space 1}   33.94{col 46}{space 3}0.000{col 54}{space 4} .0721292{col 67}{space 3} .0809703
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0640199{col 26}{space 2}  .001521{col 37}{space 1}   42.09{col 46}{space 3}0.000{col 54}{space 4} .0610389{col 67}{space 3}  .067001
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0540174{col 26}{space 2}  .002071{col 37}{space 1}   26.08{col 46}{space 3}0.000{col 54}{space 4} .0499584{col 67}{space 3} .0580764
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0460251{col 26}{space 2} .0026006{col 37}{space 1}   17.70{col 46}{space 3}0.000{col 54}{space 4}  .040928{col 67}{space 3} .0511221
{txt}{space 10}5  {c |}{col 14}{res}{space 2}  .039606{col 26}{space 2} .0029101{col 37}{space 1}   13.61{col 46}{space 3}0.000{col 54}{space 4} .0339024{col 67}{space 3} .0453096
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0344042{col 26}{space 2} .0030534{col 37}{space 1}   11.27{col 46}{space 3}0.000{col 54}{space 4} .0284196{col 67}{space 3} .0403888
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0301373{col 26}{space 2} .0030958{col 37}{space 1}    9.73{col 46}{space 3}0.000{col 54}{space 4} .0240696{col 67}{space 3}  .036205
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0265864{col 26}{space 2} .0030844{col 37}{space 1}    8.62{col 46}{space 3}0.000{col 54}{space 4}  .020541{col 67}{space 3} .0326317
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0235855{col 26}{space 2} .0030479{col 37}{space 1}    7.74{col 46}{space 3}0.000{col 54}{space 4} .0176118{col 67}{space 3} .0295592
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0210111{col 26}{space 2} .0030003{col 37}{space 1}    7.00{col 46}{space 3}0.000{col 54}{space 4} .0151305{col 67}{space 3} .0268916
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0187727{col 26}{space 2} .0029463{col 37}{space 1}    6.37{col 46}{space 3}0.000{col 54}{space 4} .0129981{col 67}{space 3} .0245474
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0168056{col 26}{space 2} .0028854{col 37}{space 1}    5.82{col 46}{space 3}0.000{col 54}{space 4} .0111504{col 67}{space 3} .0224608
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0150629{col 26}{space 2} .0028167{col 37}{space 1}    5.35{col 46}{space 3}0.000{col 54}{space 4} .0095423{col 67}{space 3} .0205835
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, ytitle ("Autocratic revolving doors") /// 
>                         xlabel( 1(4)37 )  ///
>                         ylabel(0(.02)0.08) /// 
>                         scheme(plotplain) ///
>                         addplot(kdensity NUML_aut, yaxis(2) ytitle("", axis(2)) ylabel(0(0.1).4, labsize(2) axis(2))) legend(off)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: NUML_aut{p_end}
{res}{txt}
{com}. *** Automated Figure 5 edits ***
. gr_edit title.text = {c -(}{c )-}
{res}{txt}
{com}. // title edits
. 
. gr_edit yaxis2.style.editstyle majorstyle(tickstyle(textstyle(size(small)))) editcopy
{res}{txt}
{com}. // yaxis2 size
. 
. gr_edit move yaxis2 rightof 7 6
{res}{txt}
{com}. // yaxis2 grid reposition
. 
. gr_edit xaxis1.reset_rule 1 37 4 , tickset(major) ruletype(range) 
{res}{txt}
{com}. // xaxis1 edits
. 
. gr_edit xaxis1.reset_rule 1 37 4 , tickset(major) ruletype(range) 
{res}{txt}
{com}. // xaxis1 edits
. 
. gr_edit xaxis1.title.style.editstyle size(small) editcopy
{res}{txt}
{com}. // title size
. 
. gr_edit yaxis1.title.style.editstyle size(small) editcopy
{res}{txt}
{com}. // title size
. 
. 
. 
. *** Figure 6 ***
. logit major_frev i.prev_core##c.NUML_aut prev_prestige_2 prev_military  $pre dem_const i.female i.coldwar $macro i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3897.6473}  
Iteration 1:{space 3}log likelihood = {res:-2822.0943}  
Iteration 2:{space 3}log likelihood = {res:-2646.2394}  
Iteration 3:{space 3}log likelihood = {res:-2315.6859}  
Iteration 4:{space 3}log likelihood = {res: -2205.237}  
Iteration 5:{space 3}log likelihood = {res:-2178.0847}  
Iteration 6:{space 3}log likelihood = {res:-2177.6547}  
Iteration 7:{space 3}log likelihood = {res: -2177.654}  
Iteration 8:{space 3}log likelihood = {res: -2177.654}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,909
{txt}{col 49}LR chi2({res}101{txt}){col 67}= {res}   3439.99
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -2177.654{txt}{col 49}Pseudo R2{col 67}= {res}    0.4413

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          major_frev{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 9}1.prev_core {c |}{col 22}{res}{space 2} 1.679599{col 34}{space 2} .3189356{col 45}{space 1}    5.27{col 54}{space 3}0.000{col 62}{space 4} 1.054497{col 75}{space 3} 2.304701
{txt}{space 12}NUML_aut {c |}{col 22}{res}{space 2}-.3382991{col 34}{space 2}  .122602{col 45}{space 1}   -2.76{col 54}{space 3}0.006{col 62}{space 4}-.5785947{col 75}{space 3}-.0980035
{txt}{space 20} {c |}
prev_core#c.NUML_aut {c |}
{space 18}1  {c |}{col 22}{res}{space 2} .2308952{col 34}{space 2} .1232851{col 45}{space 1}    1.87{col 54}{space 3}0.061{col 62}{space 4}-.0107391{col 75}{space 3} .4725295
{txt}{space 20} {c |}
{space 5}prev_prestige_2 {c |}{col 22}{res}{space 2} .2988642{col 34}{space 2} .1144324{col 45}{space 1}    2.61{col 54}{space 3}0.009{col 62}{space 4} .0745808{col 75}{space 3} .5231476
{txt}{space 7}prev_military {c |}{col 22}{res}{space 2}-.2397657{col 34}{space 2} .2342641{col 45}{space 1}   -1.02{col 54}{space 3}0.306{col 62}{space 4}-.6989148{col 75}{space 3} .2193834
{txt}{space 3}prev_gwf_military {c |}{col 22}{res}{space 2}-59.48275{col 34}{space 2} 5.088018{col 45}{space 1}  -11.69{col 54}{space 3}0.000{col 62}{space 4}-69.45508{col 75}{space 3}-49.51042
{txt}{space 6}prev_gwf_party {c |}{col 22}{res}{space 2}-16.29283{col 34}{space 2} 1.539582{col 45}{space 1}  -10.58{col 54}{space 3}0.000{col 62}{space 4}-19.31036{col 75}{space 3}-13.27531
{txt}{space 3}prev_gwf_personal {c |}{col 22}{res}{space 2} 5.185243{col 34}{space 2} .8671611{col 45}{space 1}    5.98{col 54}{space 3}0.000{col 62}{space 4} 3.485638{col 75}{space 3} 6.884847
{txt}{space 11}dem_const {c |}{col 22}{res}{space 2}-2.172273{col 34}{space 2} .5057354{col 45}{space 1}   -4.30{col 54}{space 3}0.000{col 62}{space 4}-3.163497{col 75}{space 3} -1.18105
{txt}{space 12}1.female {c |}{col 22}{res}{space 2} .4504287{col 34}{space 2} .1637217{col 45}{space 1}    2.75{col 54}{space 3}0.006{col 62}{space 4} .1295401{col 75}{space 3} .7713172
{txt}{space 11}1.coldwar {c |}{col 22}{res}{space 2}-.9016954{col 34}{space 2} .6868003{col 45}{space 1}   -1.31{col 54}{space 3}0.189{col 62}{space 4}-2.247799{col 75}{space 3} .4444085
{txt}{space 10}lrgdpopct1 {c |}{col 22}{res}{space 2}-10.71054{col 34}{space 2} .9649557{col 45}{space 1}  -11.10{col 54}{space 3}0.000{col 62}{space 4}-12.60181{col 75}{space 3}-8.819257
{txt}{space 5}rgdpopc_1yrcht1 {c |}{col 22}{res}{space 2} -1.76382{col 34}{space 2} 4.068063{col 45}{space 1}   -0.43{col 54}{space 3}0.665{col 62}{space 4}-9.737078{col 75}{space 3} 6.209437
{txt}{space 12}litpopt1 {c |}{col 22}{res}{space 2}-34.92571{col 34}{space 2} 1.894918{col 45}{space 1}  -18.43{col 54}{space 3}0.000{col 62}{space 4}-38.63968{col 75}{space 3}-31.21173
{txt}{space 20} {c |}
{space 10}gwf_caseid {c |}
{space 17}11  {c |}{col 22}{res}{space 2}-47.92676{col 34}{space 2} 3.348646{col 45}{space 1}  -14.31{col 54}{space 3}0.000{col 62}{space 4}-54.48999{col 75}{space 3}-41.36354
{txt}{space 17}21  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 17}23  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 17}27  {c |}{col 22}{res}{space 2}-67.31746{col 34}{space 2} 5.467888{col 45}{space 1}  -12.31{col 54}{space 3}0.000{col 62}{space 4}-78.03433{col 75}{space 3} -56.6006
{txt}{space 17}31  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
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{txt}{space 17}38  {c |}{col 22}{res}{space 2} 116.9662{col 34}{space 2} 8.024984{col 45}{space 1}   14.58{col 54}{space 3}0.000{col 62}{space 4} 101.2375{col 75}{space 3} 132.6948
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{txt}{space 17}62  {c |}{col 22}{res}{space 2} 17.63253{col 34}{space 2} 3.830885{col 45}{space 1}    4.60{col 54}{space 3}0.000{col 62}{space 4} 10.12413{col 75}{space 3} 25.14093
{txt}{space 17}69  {c |}{col 22}{res}{space 2} 134.6252{col 34}{space 2} 7.693403{col 45}{space 1}   17.50{col 54}{space 3}0.000{col 62}{space 4} 119.5464{col 75}{space 3}  149.704
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{txt}{space 17}78  {c |}{col 22}{res}{space 2}-23.92934{col 34}{space 2} 1.239311{col 45}{space 1}  -19.31{col 54}{space 3}0.000{col 62}{space 4}-26.35835{col 75}{space 3}-21.50034
{txt}{space 17}82  {c |}{col 22}{res}{space 2}-1.634408{col 34}{space 2} 3.063069{col 45}{space 1}   -0.53{col 54}{space 3}0.594{col 62}{space 4}-7.637913{col 75}{space 3} 4.369096
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{txt}{space 17}98  {c |}{col 22}{res}{space 2}-21.95046{col 34}{space 2} 2.958132{col 45}{space 1}   -7.42{col 54}{space 3}0.000{col 62}{space 4}-27.74829{col 75}{space 3}-16.15263
{txt}{space 16}109  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 16}120  {c |}{col 22}{res}{space 2}-67.81762{col 34}{space 2} 3.320098{col 45}{space 1}  -20.43{col 54}{space 3}0.000{col 62}{space 4}-74.32489{col 75}{space 3}-61.31035
{txt}{space 16}141  {c |}{col 22}{res}{space 2}-36.99787{col 34}{space 2} 3.731368{col 45}{space 1}   -9.92{col 54}{space 3}0.000{col 62}{space 4}-44.31122{col 75}{space 3}-29.68452
{txt}{space 16}147  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
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{txt}{space 16}154  {c |}{col 22}{res}{space 2} 113.5368{col 34}{space 2} 6.370385{col 45}{space 1}   17.82{col 54}{space 3}0.000{col 62}{space 4}  101.051{col 75}{space 3} 126.0225
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{txt}{space 16}170  {c |}{col 22}{res}{space 2}-93.37039{col 34}{space 2}  5.19852{col 45}{space 1}  -17.96{col 54}{space 3}0.000{col 62}{space 4}-103.5593{col 75}{space 3}-83.18148
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{txt}{space 16}180  {c |}{col 22}{res}{space 2} 21.17465{col 34}{space 2} 3.130388{col 45}{space 1}    6.76{col 54}{space 3}0.000{col 62}{space 4}  15.0392{col 75}{space 3}  27.3101
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{txt}{space 16}200  {c |}{col 22}{res}{space 2}-121.8029{col 34}{space 2} 6.329518{col 45}{space 1}  -19.24{col 54}{space 3}0.000{col 62}{space 4}-134.2086{col 75}{space 3}-109.3973
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{txt}{space 16}336  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (omitted)
{space 16}341  {c |}{col 22}{res}{space 2}-44.27665{col 34}{space 2} 2.531118{col 45}{space 1}  -17.49{col 54}{space 3}0.000{col 62}{space 4}-49.23755{col 75}{space 3}-39.31575
{txt}{space 16}346  {c |}{col 22}{res}{space 2} 10.29282{col 34}{space 2} 4.125005{col 45}{space 1}    2.50{col 54}{space 3}0.013{col 62}{space 4} 2.207961{col 75}{space 3} 18.37768
{txt}{space 16}348  {c |}{col 22}{res}{space 2}-42.88921{col 34}{space 2}  1.97476{col 45}{space 1}  -21.72{col 54}{space 3}0.000{col 62}{space 4}-46.75967{col 75}{space 3}-39.01875
{txt}{space 16}351  {c |}{col 22}{res}{space 2} 37.17666{col 34}{space 2} 5.000619{col 45}{space 1}    7.43{col 54}{space 3}0.000{col 62}{space 4} 27.37562{col 75}{space 3} 46.97769
{txt}{space 16}354  {c |}{col 22}{res}{space 2}   102.94{col 34}{space 2} 6.425116{col 45}{space 1}   16.02{col 54}{space 3}0.000{col 62}{space 4} 90.34696{col 75}{space 3}  115.533
{txt}{space 16}357  {c |}{col 22}{res}{space 2}  122.482{col 34}{space 2} 7.836543{col 45}{space 1}   15.63{col 54}{space 3}0.000{col 62}{space 4} 107.1226{col 75}{space 3} 137.8413
{txt}{space 16}362  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (empty)
{space 16}365  {c |}{col 22}{res}{space 2} 110.4559{col 34}{space 2} 7.482111{col 45}{space 1}   14.76{col 54}{space 3}0.000{col 62}{space 4}  95.7912{col 75}{space 3} 125.1205
{txt}{space 16}367  {c |}{col 22}{res}{space 2} 134.4558{col 34}{space 2} 8.159406{col 45}{space 1}   16.48{col 54}{space 3}0.000{col 62}{space 4} 118.4637{col 75}{space 3}  150.448
{txt}{space 16}376  {c |}{col 22}{res}{space 2}-.3055057{col 34}{space 2} 1.712571{col 45}{space 1}   -0.18{col 54}{space 3}0.858{col 62}{space 4}-3.662084{col 75}{space 3} 3.051073
{txt}{space 16}380  {c |}{col 22}{res}{space 2}-36.62752{col 34}{space 2} 2.551708{col 45}{space 1}  -14.35{col 54}{space 3}0.000{col 62}{space 4}-41.62878{col 75}{space 3}-31.62626
{txt}{space 16}387  {c |}{col 22}{res}{space 2}  51.9109{col 34}{space 2} 4.142645{col 45}{space 1}   12.53{col 54}{space 3}0.000{col 62}{space 4} 43.79146{col 75}{space 3} 60.03033
{txt}{space 16}390  {c |}{col 22}{res}{space 2} 6.667871{col 34}{space 2}  1.94319{col 45}{space 1}    3.43{col 54}{space 3}0.001{col 62}{space 4} 2.859289{col 75}{space 3} 10.47645
{txt}{space 16}393  {c |}{col 22}{res}{space 2} 32.80244{col 34}{space 2} 1.890849{col 45}{space 1}   17.35{col 54}{space 3}0.000{col 62}{space 4} 29.09645{col 75}{space 3} 36.50844
{txt}{space 16}395  {c |}{col 22}{res}{space 2} 47.29096{col 34}{space 2} 1.945644{col 45}{space 1}   24.31{col 54}{space 3}0.000{col 62}{space 4} 43.47757{col 75}{space 3} 51.10435
{txt}{space 16}398  {c |}{col 22}{res}{space 2}-20.88334{col 34}{space 2} 3.686116{col 45}{space 1}   -5.67{col 54}{space 3}0.000{col 62}{space 4}  -28.108{col 75}{space 3}-13.65869
{txt}{space 16}401  {c |}{col 22}{res}{space 2} 24.21456{col 34}{space 2} 1.344402{col 45}{space 1}   18.01{col 54}{space 3}0.000{col 62}{space 4} 21.57958{col 75}{space 3} 26.84954
{txt}{space 16}402  {c |}{col 22}{res}{space 2} 107.0173{col 34}{space 2} 4.679548{col 45}{space 1}   22.87{col 54}{space 3}0.000{col 62}{space 4} 97.84551{col 75}{space 3}  116.189
{txt}{space 16}409  {c |}{col 22}{res}{space 2}-11.82866{col 34}{space 2} 1.093009{col 45}{space 1}  -10.82{col 54}{space 3}0.000{col 62}{space 4}-13.97091{col 75}{space 3}-9.686397
{txt}{space 16}411  {c |}{col 22}{res}{space 2}-11.85896{col 34}{space 2} 1.988647{col 45}{space 1}   -5.96{col 54}{space 3}0.000{col 62}{space 4}-15.75663{col 75}{space 3} -7.96128
{txt}{space 16}417  {c |}{col 22}{res}{space 2} -10.3114{col 34}{space 2} 2.654393{col 45}{space 1}   -3.88{col 54}{space 3}0.000{col 62}{space 4}-15.51391{col 75}{space 3}-5.108881
{txt}{space 16}419  {c |}{col 22}{res}{space 2}-68.32008{col 34}{space 2}   3.3993{col 45}{space 1}  -20.10{col 54}{space 3}0.000{col 62}{space 4}-74.98259{col 75}{space 3}-61.65757
{txt}{space 16}428  {c |}{col 22}{res}{space 2} 53.43849{col 34}{space 2} 2.122444{col 45}{space 1}   25.18{col 54}{space 3}0.000{col 62}{space 4} 49.27857{col 75}{space 3}  57.5984
{txt}{space 16}436  {c |}{col 22}{res}{space 2} 30.07386{col 34}{space 2} 2.218443{col 45}{space 1}   13.56{col 54}{space 3}0.000{col 62}{space 4} 25.72579{col 75}{space 3} 34.42193
{txt}{space 16}439  {c |}{col 22}{res}{space 2} 11.53102{col 34}{space 2} .6702053{col 45}{space 1}   17.21{col 54}{space 3}0.000{col 62}{space 4} 10.21744{col 75}{space 3}  12.8446
{txt}{space 16}441  {c |}{col 22}{res}{space 2} 25.36692{col 34}{space 2} 1.164951{col 45}{space 1}   21.78{col 54}{space 3}0.000{col 62}{space 4} 23.08366{col 75}{space 3} 27.65018
{txt}{space 16}448  {c |}{col 22}{res}{space 2} 50.86028{col 34}{space 2}  4.94069{col 45}{space 1}   10.29{col 54}{space 3}0.000{col 62}{space 4} 41.17671{col 75}{space 3} 60.54386
{txt}{space 16}464  {c |}{col 22}{res}{space 2} 38.76768{col 34}{space 2}  2.14095{col 45}{space 1}   18.11{col 54}{space 3}0.000{col 62}{space 4} 34.57149{col 75}{space 3} 42.96387
{txt}{space 16}472  {c |}{col 22}{res}{space 2} 78.62639{col 34}{space 2} 5.852566{col 45}{space 1}   13.43{col 54}{space 3}0.000{col 62}{space 4} 67.15558{col 75}{space 3} 90.09721
{txt}{space 16}474  {c |}{col 22}{res}{space 2} 93.69727{col 34}{space 2} 5.995421{col 45}{space 1}   15.63{col 54}{space 3}0.000{col 62}{space 4} 81.94646{col 75}{space 3} 105.4481
{txt}{space 16}476  {c |}{col 22}{res}{space 2} 101.4341{col 34}{space 2} 5.931796{col 45}{space 1}   17.10{col 54}{space 3}0.000{col 62}{space 4} 89.80799{col 75}{space 3} 113.0602
{txt}{space 16}478  {c |}{col 22}{res}{space 2} 106.3609{col 34}{space 2} 5.927109{col 45}{space 1}   17.94{col 54}{space 3}0.000{col 62}{space 4} 94.74402{col 75}{space 3} 117.9779
{txt}{space 16}483  {c |}{col 22}{res}{space 2} 2.198781{col 34}{space 2} 1.514856{col 45}{space 1}    1.45{col 54}{space 3}0.147{col 62}{space 4}-.7702815{col 75}{space 3} 5.167843
{txt}{space 16}490  {c |}{col 22}{res}{space 2}  98.1847{col 34}{space 2} 5.628751{col 45}{space 1}   17.44{col 54}{space 3}0.000{col 62}{space 4} 87.15255{col 75}{space 3} 109.2169
{txt}{space 16}505  {c |}{col 22}{res}{space 2} 49.05345{col 34}{space 2} 1.961804{col 45}{space 1}   25.00{col 54}{space 3}0.000{col 62}{space 4} 45.20839{col 75}{space 3} 52.89852
{txt}{space 16}508  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (omitted)
{space 16}525  {c |}{col 22}{res}{space 2}-33.26107{col 34}{space 2} 1.560838{col 45}{space 1}  -21.31{col 54}{space 3}0.000{col 62}{space 4}-36.32026{col 75}{space 3}-30.20189
{txt}{space 16}527  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (omitted)
{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2} 436.5826{col 34}{space 2} 18.30309{col 45}{space 1}   23.85{col 54}{space 3}0.000{col 62}{space 4} 400.7092{col 75}{space 3}  472.456
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, dydx(prev_core) at(NUML_aut=(1(3)37))
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}    15,909
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(major_frev), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.prev_core}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 10}4}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}10}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}16}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}22}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}28}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}34}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:13._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.prev_core {col 14}{txt}{c |}  (base outcome)
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.prev_core  {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2} .0506098{col 26}{space 2} .0041082{col 37}{space 1}   12.32{col 46}{space 3}0.000{col 54}{space 4}  .042558{col 67}{space 3} .0586617
{txt}{space 10}2  {c |}{col 14}{res}{space 2} .0475463{col 26}{space 2} .0031572{col 37}{space 1}   15.06{col 46}{space 3}0.000{col 54}{space 4} .0413584{col 67}{space 3} .0537342
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .043286{col 26}{space 2} .0042052{col 37}{space 1}   10.29{col 46}{space 3}0.000{col 54}{space 4}  .035044{col 67}{space 3}  .051528
{txt}{space 10}4  {c |}{col 14}{res}{space 2}  .039133{col 26}{space 2} .0048379{col 37}{space 1}    8.09{col 46}{space 3}0.000{col 54}{space 4} .0296509{col 67}{space 3} .0486151
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0354695{col 26}{space 2} .0051689{col 37}{space 1}    6.86{col 46}{space 3}0.000{col 54}{space 4} .0253386{col 67}{space 3} .0456005
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0324079{col 26}{space 2} .0053212{col 37}{space 1}    6.09{col 46}{space 3}0.000{col 54}{space 4} .0219786{col 67}{space 3} .0428373
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0298085{col 26}{space 2} .0051304{col 37}{space 1}    5.81{col 46}{space 3}0.000{col 54}{space 4}  .019753{col 67}{space 3} .0398639
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0274176{col 26}{space 2} .0046066{col 37}{space 1}    5.95{col 46}{space 3}0.000{col 54}{space 4} .0183889{col 67}{space 3} .0364463
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0251007{col 26}{space 2} .0040454{col 37}{space 1}    6.20{col 46}{space 3}0.000{col 54}{space 4} .0171719{col 67}{space 3} .0330296
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0228537{col 26}{space 2} .0036337{col 37}{space 1}    6.29{col 46}{space 3}0.000{col 54}{space 4} .0157319{col 67}{space 3} .0299755
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0207056{col 26}{space 2} .0033896{col 37}{space 1}    6.11{col 46}{space 3}0.000{col 54}{space 4} .0140621{col 67}{space 3} .0273491
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .0186946{col 26}{space 2} .0032587{col 37}{space 1}    5.74{col 46}{space 3}0.000{col 54}{space 4} .0123076{col 67}{space 3} .0250816
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .0168515{col 26}{space 2} .0031664{col 37}{space 1}    5.32{col 46}{space 3}0.000{col 54}{space 4} .0106455{col 67}{space 3} .0230575
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 78}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, title("Average Marginal Effects") ytitle("Autocratic revolving doors", size(small)) xtitle("No. of Years in Autocratic Cabinet", size(small)) scheme(plotplain) 
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: NUML_aut{p_end}
{res}{txt}
{com}. 
. *** Figure 7 ***
. 
. ***Create label for graph***
. lab def prev_corelab 0 "Core Cabinet Member=0" 1 "Core Cabinet Member=1" 
{txt}
{com}. lab val prev_core prev_corelab
{txt}
{com}. 
. logit major_frev $ind2 female i.dem_const i.coldwar $pre $macro i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3897.6473}  
Iteration 1:{space 3}log likelihood = {res:-2822.5844}  
Iteration 2:{space 3}log likelihood = {res:-2631.2892}  
Iteration 3:{space 3}log likelihood = {res:-2306.2939}  
Iteration 4:{space 3}log likelihood = {res:-2197.6791}  
Iteration 5:{space 3}log likelihood = {res: -2179.063}  
Iteration 6:{space 3}log likelihood = {res: -2178.795}  
Iteration 7:{space 3}log likelihood = {res:-2178.7948}  
Iteration 8:{space 3}log likelihood = {res:-2178.7948}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,909
{txt}{col 49}LR chi2({res}101{txt}){col 67}= {res}   3437.71
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2178.7948{txt}{col 49}Pseudo R2{col 67}= {res}    0.4410

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              major_frev{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}prev_core {c |}
{space 2}Core Cabinet Member=1  {c |}{col 26}{res}{space 2} 2.201682{col 38}{space 2} .2258127{col 49}{space 1}    9.75{col 58}{space 3}0.000{col 66}{space 4} 1.759097{col 79}{space 3} 2.644267
{txt}{space 9}1.prev_military {c |}{col 26}{res}{space 2} .8468342{col 38}{space 2} .8257895{col 49}{space 1}    1.03{col 58}{space 3}0.305{col 66}{space 4}-.7716835{col 79}{space 3} 2.465352
{txt}{space 24} {c |}
{space 1}prev_core#prev_military {c |}
Core Cabinet Member=1#1  {c |}{col 26}{res}{space 2}-1.136767{col 38}{space 2} .8507113{col 49}{space 1}   -1.34{col 58}{space 3}0.181{col 66}{space 4}-2.804131{col 79}{space 3} .5305961
{txt}{space 24} {c |}
{space 16}NUML_aut {c |}{col 26}{res}{space 2}-.1109298{col 38}{space 2} .0163339{col 49}{space 1}   -6.79{col 58}{space 3}0.000{col 66}{space 4}-.1429436{col 79}{space 3} -.078916
{txt}{space 9}prev_prestige_2 {c |}{col 26}{res}{space 2}  .298207{col 38}{space 2} .1144682{col 49}{space 1}    2.61{col 58}{space 3}0.009{col 66}{space 4} .0738536{col 79}{space 3} .5225605
{txt}{space 18}female {c |}{col 26}{res}{space 2} .4570163{col 38}{space 2} .1635697{col 49}{space 1}    2.79{col 58}{space 3}0.005{col 66}{space 4} .1364255{col 79}{space 3}  .777607
{txt}{space 13}1.dem_const {c |}{col 26}{res}{space 2}-2.153344{col 38}{space 2} .4999353{col 49}{space 1}   -4.31{col 58}{space 3}0.000{col 66}{space 4}-3.133199{col 79}{space 3}-1.173489
{txt}{space 15}1.coldwar {c |}{col 26}{res}{space 2}-.9720555{col 38}{space 2} .6713152{col 49}{space 1}   -1.45{col 58}{space 3}0.148{col 66}{space 4}-2.287809{col 79}{space 3} .3436982
{txt}{space 7}prev_gwf_military {c |}{col 26}{res}{space 2}-59.25926{col 38}{space 2} 5.077476{col 49}{space 1}  -11.67{col 58}{space 3}0.000{col 66}{space 4}-69.21093{col 79}{space 3}-49.30759
{txt}{space 10}prev_gwf_party {c |}{col 26}{res}{space 2}-16.23848{col 38}{space 2} 1.536964{col 49}{space 1}  -10.57{col 58}{space 3}0.000{col 66}{space 4}-19.25087{col 79}{space 3}-13.22608
{txt}{space 7}prev_gwf_personal {c |}{col 26}{res}{space 2} 5.198896{col 38}{space 2} .8620929{col 49}{space 1}    6.03{col 58}{space 3}0.000{col 66}{space 4} 3.509225{col 79}{space 3} 6.888567
{txt}{space 14}lrgdpopct1 {c |}{col 26}{res}{space 2}-10.63777{col 38}{space 2} .9591575{col 49}{space 1}  -11.09{col 58}{space 3}0.000{col 66}{space 4}-12.51769{col 79}{space 3}-8.757857
{txt}{space 9}rgdpopc_1yrcht1 {c |}{col 26}{res}{space 2}-1.469295{col 38}{space 2} 4.090927{col 49}{space 1}   -0.36{col 58}{space 3}0.719{col 66}{space 4}-9.487365{col 79}{space 3} 6.548774
{txt}{space 16}litpopt1 {c |}{col 26}{res}{space 2} -34.7924{col 38}{space 2} 1.894046{col 49}{space 1}  -18.37{col 58}{space 3}0.000{col 66}{space 4}-38.50467{col 79}{space 3}-31.08014
{txt}{space 24} {c |}
{space 14}gwf_caseid {c |}
{space 21}11  {c |}{col 26}{res}{space 2}-47.74206{col 38}{space 2} 3.346372{col 49}{space 1}  -14.27{col 58}{space 3}0.000{col 66}{space 4}-54.30083{col 79}{space 3} -41.1833
{txt}{space 21}21  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 21}23  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 21}27  {c |}{col 26}{res}{space 2}-67.12846{col 38}{space 2} 5.460949{col 49}{space 1}  -12.29{col 58}{space 3}0.000{col 66}{space 4}-77.83173{col 79}{space 3} -56.4252
{txt}{space 21}31  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 21}36  {c |}{col 26}{res}{space 2} 40.80238{col 38}{space 2} 2.512726{col 49}{space 1}   16.24{col 58}{space 3}0.000{col 66}{space 4} 35.87752{col 79}{space 3} 45.72723
{txt}{space 21}38  {c |}{col 26}{res}{space 2} 116.5422{col 38}{space 2} 8.016501{col 49}{space 1}   14.54{col 58}{space 3}0.000{col 66}{space 4} 100.8301{col 79}{space 3} 132.2542
{txt}{space 21}51  {c |}{col 26}{res}{space 2}-58.63159{col 38}{space 2} 3.416192{col 49}{space 1}  -17.16{col 58}{space 3}0.000{col 66}{space 4} -65.3272{col 79}{space 3}-51.93597
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{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2} 434.1151{col 38}{space 2} 18.25919{col 49}{space 1}   23.78{col 58}{space 3}0.000{col 66}{space 4} 398.3277{col 79}{space 3} 469.9024
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins prev_core, at(prev_military=(0(1)1))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}    15,909
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(major_frev), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:prev_military}{space 3}{txt:=} {space 10}0}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:prev_military}{space 3}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{res}{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38} Delta-method
{col 26}{c |}     Margin{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 11}_at#prev_core {c |}
1#Core Cabinet Member=0  {c |}{col 26}{res}{space 2} .0278611{col 38}{space 2} .0021517{col 49}{space 1}   12.95{col 58}{space 3}0.000{col 66}{space 4} .0236438{col 79}{space 3} .0320784
{txt}1#Core Cabinet Member=1  {c |}{col 26}{res}{space 2} .0745813{col 38}{space 2} .0018136{col 49}{space 1}   41.12{col 58}{space 3}0.000{col 66}{space 4} .0710266{col 79}{space 3} .0781359
{txt}2#Core Cabinet Member=0  {c |}{col 26}{res}{space 2} .0387924{col 38}{space 2} .0130543{col 49}{space 1}    2.97{col 58}{space 3}0.003{col 66}{space 4} .0132064{col 79}{space 3} .0643785
{txt}2#Core Cabinet Member=1  {c |}{col 26}{res}{space 2} .0639792{col 38}{space 2} .0077901{col 49}{space 1}    8.21{col 58}{space 3}0.000{col 66}{space 4} .0487109{col 79}{space 3} .0792476
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, title("") ytitle("Autocratic revolving doors", size(small)) xtitle("National Security, Defense & Military Portfolio", size(small)) recast(scatter) scheme(plotplain) legend(pos(6) col(2) size(vsmall))
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: prev_military prev_core{p_end}
{res}{txt}
{com}.                 
.                 
. *********************************************************************************************           
.         *****************APPENDIX AND ROBUSTNESS CHECKS*********************************
. *********************************************************************************************
. 
. 
. *** Table A1 ***
. 
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. 
. logit major_frev prev_core i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 86 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 123 obs not used

note: 24.gwf_caseid != 0 predicts failure perfectly
      24.gwf_caseid dropped and 45 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 15 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 14 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 281.gwf_caseid != 0 predicts failure perfectly
      281.gwf_caseid dropped and 10 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 62 obs not used

note: 503.gwf_caseid != 0 predicts failure perfectly
      503.gwf_caseid dropped and 25 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3940.1958}  
Iteration 1:{space 3}log likelihood = {res:-3739.2347}  
Iteration 2:{space 3}log likelihood = {res:-3708.5663}  
Iteration 3:{space 3}log likelihood = {res:-3624.3762}  (backed up)
Iteration 4:{space 3}log likelihood = {res:-3561.8141}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-3527.6163}  
Iteration 6:{space 3}log likelihood = {res:-3507.2436}  
Iteration 7:{space 3}log likelihood = {res:-3504.8969}  
Iteration 8:{space 3}log likelihood = {res:-3504.8745}  
Iteration 9:{space 3}log likelihood = {res:-3504.8744}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    16,538
{txt}{col 49}LR chi2({res}91{txt}){col 67}= {res}    870.64
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3504.8744{txt}{col 49}Pseudo R2{col 67}= {res}    0.1105

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  major_frev{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 3}prev_core {c |}{col 14}{res}{space 2} 1.354017{col 26}{space 2} .1445646{col 37}{space 1}    9.37{col 46}{space 3}0.000{col 54}{space 4} 1.070676{col 67}{space 3} 1.637359
{txt}{space 12} {c |}
{space 2}gwf_caseid {c |}
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{space 9}23  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
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{txt}{space 8}503  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
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{txt}{space 8}508  {c |}{col 14}{res}{space 2}-.3501877{col 26}{space 2} 1.060303{col 37}{space 1}   -0.33{col 46}{space 3}0.741{col 54}{space 4}-2.428344{col 67}{space 3} 1.727968
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{txt}{space 8}527  {c |}{col 14}{res}{space 2} .0734143{col 26}{space 2} .5002106{col 37}{space 1}    0.15{col 46}{space 3}0.883{col 54}{space 4}-.9069804{col 67}{space 3} 1.053809
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-4.853977{col 26}{space 2} .3497792{col 37}{space 1}  -13.88{col 46}{space 3}0.000{col 54}{space 4}-5.539532{col 67}{space 3}-4.168423
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}13,238{col 51}{txt}missing .:  {res}0{txt}/{res}16,538

{txt}{col 19}mean:{res}{col 26} 27468.8
{txt}{col 15}std. dev:{res}{col 26} 16197.5

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    5020{col 37}   13295{col 47} 27339.5{col 57}   41606{col 67}   49848

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}16,538

{txt}{col 19}mean:{res}{col 26} 485.633
{txt}{col 15}std. dev:{res}{col 26} 220.335

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     365{col 47}     452{col 57}     660{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}16,538

{txt}{col 19}mean:{res}{col 26} 281.711
{txt}{col 15}std. dev:{res}{col 26} 139.746

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. logit major_frev  NUML_aut  i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 77 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 123 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3899.9914}  
Iteration 1:{space 3}log likelihood = {res:-3686.2398}  
Iteration 2:{space 3}log likelihood = {res:-3662.1567}  
Iteration 3:{space 3}log likelihood = {res:-3595.4766}  (backed up)
Iteration 4:{space 3}log likelihood = {res: -3516.415}  (backed up)
Iteration 5:{space 3}log likelihood = {res: -3494.426}  
Iteration 6:{space 3}log likelihood = {res:-3481.9198}  
Iteration 7:{space 3}log likelihood = {res:-3477.4309}  
Iteration 8:{space 3}log likelihood = {res:-3474.3647}  
Iteration 9:{space 3}log likelihood = {res:-3474.3072}  
Iteration 10:{space 2}log likelihood = {res:-3474.3072}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,943
{txt}{col 49}LR chi2({res}91{txt}){col 67}= {res}    851.37
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3474.3072{txt}{col 49}Pseudo R2{col 67}= {res}    0.1092

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  major_frev{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}NUML_aut {c |}{col 14}{res}{space 2}-.1267763{col 26}{space 2} .0136619{col 37}{space 1}   -9.28{col 46}{space 3}0.000{col 54}{space 4}-.1535532{col 67}{space 3}-.0999994
{txt}{space 12} {c |}
{space 2}gwf_caseid {c |}
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{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-3.224865{col 26}{space 2} .3225298{col 37}{space 1}  -10.00{col 46}{space 3}0.000{col 54}{space 4}-3.857012{col 67}{space 3}-2.592719
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,949{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 27424.1
{txt}{col 15}std. dev:{res}{col 26} 16185.3

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4999{col 37}   13268{col 47}   27224{col 57}   41541{col 67}   49824

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 483.969
{txt}{col 15}std. dev:{res}{col 26} 220.025

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     365{col 47}     452{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 281.177
{txt}{col 15}std. dev:{res}{col 26} 138.643

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. logit major_frev prev_prestige_2  i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 86 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 123 obs not used

note: 24.gwf_caseid != 0 predicts failure perfectly
      24.gwf_caseid dropped and 45 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 15 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 14 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 281.gwf_caseid != 0 predicts failure perfectly
      281.gwf_caseid dropped and 10 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 62 obs not used

note: 503.gwf_caseid != 0 predicts failure perfectly
      503.gwf_caseid dropped and 25 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3940.1958}  
Iteration 1:{space 3}log likelihood = {res:-3780.6193}  
Iteration 2:{space 3}log likelihood = {res: -3763.641}  
Iteration 3:{space 3}log likelihood = {res:-3681.7104}  (backed up)
Iteration 4:{space 3}log likelihood = {res: -3642.579}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-3584.6278}  (backed up)
Iteration 6:{space 3}log likelihood = {res:-3564.8146}  
Iteration 7:{space 3}log likelihood = {res:-3561.0443}  
Iteration 8:{space 3}log likelihood = {res:-3561.0198}  
Iteration 9:{space 3}log likelihood = {res:-3561.0198}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    16,538
{txt}{col 49}LR chi2({res}91{txt}){col 67}= {res}    758.35
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3561.0198{txt}{col 49}Pseudo R2{col 67}= {res}    0.0962

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
prev_prestige_2 {c |}{col 17}{res}{space 2} .2585369{col 29}{space 2}  .079648{col 40}{space 1}    3.25{col 49}{space 3}0.001{col 57}{space 4} .1024297{col 70}{space 3} .4146441
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}24  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}36  {c |}{col 17}{res}{space 2} .6294344{col 29}{space 2} .4453434{col 40}{space 1}    1.41{col 49}{space 3}0.158{col 57}{space 4}-.2434225{col 70}{space 3} 1.502291
{txt}{space 12}38  {c |}{col 17}{res}{space 2}-.8104683{col 29}{space 2} .6634398{col 40}{space 1}   -1.22{col 49}{space 3}0.222{col 57}{space 4}-2.110786{col 70}{space 3} .4898499
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{txt}{space 12}62  {c |}{col 17}{res}{space 2} .9187649{col 29}{space 2}  .438261{col 40}{space 1}    2.10{col 49}{space 3}0.036{col 57}{space 4}  .059789{col 70}{space 3} 1.777741
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{txt}{space 11}147  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-3.643154{col 29}{space 2} .3209523{col 40}{space 1}  -11.35{col 49}{space 3}0.000{col 57}{space 4}-4.272209{col 70}{space 3}-3.014099
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}13,238{col 51}{txt}missing .:  {res}0{txt}/{res}16,538

{txt}{col 19}mean:{res}{col 26} 27468.8
{txt}{col 15}std. dev:{res}{col 26} 16197.5

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    5020{col 37}   13295{col 47} 27339.5{col 57}   41606{col 67}   49848

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}16,538

{txt}{col 19}mean:{res}{col 26} 485.633
{txt}{col 15}std. dev:{res}{col 26} 220.335

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     365{col 47}     452{col 57}     660{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}16,538

{txt}{col 19}mean:{res}{col 26} 281.711
{txt}{col 15}std. dev:{res}{col 26} 139.746

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. logit major_frev  prev_military  i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 86 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 123 obs not used

note: 24.gwf_caseid != 0 predicts failure perfectly
      24.gwf_caseid dropped and 45 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 15 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 14 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 281.gwf_caseid != 0 predicts failure perfectly
      281.gwf_caseid dropped and 10 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 62 obs not used

note: 503.gwf_caseid != 0 predicts failure perfectly
      503.gwf_caseid dropped and 25 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3940.1958}  
Iteration 1:{space 3}log likelihood = {res:-3784.7409}  
Iteration 2:{space 3}log likelihood = {res:-3768.7251}  
Iteration 3:{space 3}log likelihood = {res:-3684.5385}  (backed up)
Iteration 4:{space 3}log likelihood = {res:-3621.9988}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-3587.9301}  
Iteration 6:{space 3}log likelihood = {res:-3568.6662}  
Iteration 7:{space 3}log likelihood = {res: -3566.121}  
Iteration 8:{space 3}log likelihood = {res:-3566.1007}  
Iteration 9:{space 3}log likelihood = {res:-3566.1007}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    16,538
{txt}{col 49}LR chi2({res}91{txt}){col 67}= {res}    748.19
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3566.1007{txt}{col 49}Pseudo R2{col 67}= {res}    0.0949

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   major_frev{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
prev_military {c |}{col 15}{res}{space 2}-.0157355{col 27}{space 2} .1585101{col 38}{space 1}   -0.10{col 47}{space 3}0.921{col 55}{space 4}-.3264097{col 68}{space 3} .2949386
{txt}{space 13} {c |}
{space 3}gwf_caseid {c |}
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{space 10}23  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}24  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
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{txt}{space 9}147  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
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{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-3.596562{col 27}{space 2} .3206182{col 38}{space 1}  -11.22{col 47}{space 3}0.000{col 55}{space 4}-4.224962{col 68}{space 3}-2.968162
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}13,238{col 51}{txt}missing .:  {res}0{txt}/{res}16,538

{txt}{col 19}mean:{res}{col 26} 27468.8
{txt}{col 15}std. dev:{res}{col 26} 16197.5

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    5020{col 37}   13295{col 47} 27339.5{col 57}   41606{col 67}   49848

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}16,538

{txt}{col 19}mean:{res}{col 26} 485.633
{txt}{col 15}std. dev:{res}{col 26} 220.335

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     365{col 47}     452{col 57}     660{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}16,538

{txt}{col 19}mean:{res}{col 26} 281.711
{txt}{col 15}std. dev:{res}{col 26} 139.746

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. logit major_frev $ind i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 77 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 123 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3899.9914}  
Iteration 1:{space 3}log likelihood = {res:-3645.4087}  
Iteration 2:{space 3}log likelihood = {res:-3606.9321}  
Iteration 3:{space 3}log likelihood = {res:-3509.2543}  (backed up)
Iteration 4:{space 3}log likelihood = {res:-3443.4406}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-3426.9072}  
Iteration 6:{space 3}log likelihood = {res:-3420.2568}  
Iteration 7:{space 3}log likelihood = {res:-3419.4057}  
Iteration 8:{space 3}log likelihood = {res:-3419.4015}  
Iteration 9:{space 3}log likelihood = {res:-3419.4015}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,943
{txt}{col 49}LR chi2({res}94{txt}){col 67}= {res}    961.18
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3419.4015{txt}{col 49}Pseudo R2{col 67}= {res}    0.1232

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.240683{col 29}{space 2} .1465747{col 40}{space 1}    8.46{col 49}{space 3}0.000{col 57}{space 4} .9534024{col 70}{space 3} 1.527964
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.1414272{col 29}{space 2} .0138174{col 40}{space 1}  -10.24{col 49}{space 3}0.000{col 57}{space 4}-.1685088{col 70}{space 3}-.1143456
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2}  .322482{col 29}{space 2} .0883055{col 40}{space 1}    3.65{col 49}{space 3}0.000{col 57}{space 4} .1494065{col 70}{space 3} .4955575
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.2255034{col 29}{space 2} .1753062{col 40}{space 1}   -1.29{col 49}{space 3}0.198{col 57}{space 4}-.5690972{col 70}{space 3} .1180903
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}11  {c |}{col 17}{res}{space 2} 1.167192{col 29}{space 2} .5337966{col 40}{space 1}    2.19{col 49}{space 3}0.029{col 57}{space 4} .1209704{col 70}{space 3} 2.213414
{txt}{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} .5545937{col 29}{space 2} .4696831{col 40}{space 1}    1.18{col 49}{space 3}0.238{col 57}{space 4}-.3659684{col 70}{space 3} 1.475156
{txt}{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}36  {c |}{col 17}{res}{space 2} .8161871{col 29}{space 2} .4475414{col 40}{space 1}    1.82{col 49}{space 3}0.068{col 57}{space 4}-.0609778{col 70}{space 3} 1.693352
{txt}{space 12}38  {c |}{col 17}{res}{space 2}-.6007366{col 29}{space 2}  .665014{col 40}{space 1}   -0.90{col 49}{space 3}0.366{col 57}{space 4} -1.90414{col 70}{space 3} .7026668
{txt}{space 12}51  {c |}{col 17}{res}{space 2} 1.683649{col 29}{space 2} .4269362{col 40}{space 1}    3.94{col 49}{space 3}0.000{col 57}{space 4} .8468696{col 70}{space 3} 2.520429
{txt}{space 12}62  {c |}{col 17}{res}{space 2} .6609404{col 29}{space 2} .4391941{col 40}{space 1}    1.50{col 49}{space 3}0.132{col 57}{space 4}-.1998641{col 70}{space 3} 1.521745
{txt}{space 12}69  {c |}{col 17}{res}{space 2} 1.937762{col 29}{space 2} .4050713{col 40}{space 1}    4.78{col 49}{space 3}0.000{col 57}{space 4} 1.143837{col 70}{space 3} 2.731688
{txt}{space 12}71  {c |}{col 17}{res}{space 2} 1.042741{col 29}{space 2} .5071236{col 40}{space 1}    2.06{col 49}{space 3}0.040{col 57}{space 4} .0487973{col 70}{space 3} 2.036685
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{txt}{space 12}82  {c |}{col 17}{res}{space 2} 1.223467{col 29}{space 2}  .415549{col 40}{space 1}    2.94{col 49}{space 3}0.003{col 57}{space 4} .4090061{col 70}{space 3} 2.037928
{txt}{space 12}85  {c |}{col 17}{res}{space 2}-.8005627{col 29}{space 2} .6644429{col 40}{space 1}   -1.20{col 49}{space 3}0.228{col 57}{space 4}-2.102847{col 70}{space 3} .5017215
{txt}{space 12}98  {c |}{col 17}{res}{space 2} .9667265{col 29}{space 2} .4320837{col 40}{space 1}    2.24{col 49}{space 3}0.025{col 57}{space 4}  .119858{col 70}{space 3} 1.813595
{txt}{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}120  {c |}{col 17}{res}{space 2} 1.383077{col 29}{space 2}  .436091{col 40}{space 1}    3.17{col 49}{space 3}0.002{col 57}{space 4} .5283543{col 70}{space 3} 2.237799
{txt}{space 11}141  {c |}{col 17}{res}{space 2}  1.29144{col 29}{space 2} .5135717{col 40}{space 1}    2.51{col 49}{space 3}0.012{col 57}{space 4}  .284858{col 70}{space 3} 2.298022
{txt}{space 11}147  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.424012{col 29}{space 2} .3523592{col 40}{space 1}  -12.56{col 49}{space 3}0.000{col 57}{space 4}-5.114623{col 70}{space 3}  -3.7334
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,949{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 27424.1
{txt}{col 15}std. dev:{res}{col 26} 16185.3

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4999{col 37}   13268{col 47}   27224{col 57}   41541{col 67}   49824

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 483.969
{txt}{col 15}std. dev:{res}{col 26} 220.025

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     365{col 47}     452{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 281.177
{txt}{col 15}std. dev:{res}{col 26} 138.643

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. 
. *** Table A2 ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. logit major_frev prev_core $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 219 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -6164.553}  
Iteration 1:{space 3}log likelihood = {res:-5612.5491}  
Iteration 2:{space 3}log likelihood = {res:-4923.6401}  
Iteration 3:{space 3}log likelihood = {res:-4604.5456}  
Iteration 4:{space 3}log likelihood = {res:-4586.1321}  
Iteration 5:{space 3}log likelihood = {res:-4585.4197}  
Iteration 6:{space 3}log likelihood = {res:-4549.4186}  
Iteration 7:{space 3}log likelihood = {res:-4549.4186}  
Iteration 8:{space 3}log likelihood = {res:-4549.4186}  
Iteration 9:{space 3}log likelihood = {res:-4549.4186}  
Iteration 10:{space 2}log likelihood = {res:-4549.4186}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4549.4186}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4549.4186}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4549.4186}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4549.4186}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4549.4186}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4549.4186}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4533.4575}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4455.5953}  (backed up)
Iteration 19:{space 2}log likelihood = {res:-4400.2026}  (backed up)
Iteration 20:{space 2}log likelihood = {res:-4400.1692}  
Iteration 21:{space 2}log likelihood = {res:-4400.1692}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,990
{txt}{col 49}LR chi2({res}91{txt}){col 67}= {res}   3528.77
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4400.1692{txt}{col 49}Pseudo R2{col 67}= {res}    0.2862

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   major_frev{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}prev_core {c |}{col 15}{res}{space 2} 1.139999{col 27}{space 2} .1553495{col 38}{space 1}    7.34{col 47}{space 3}0.000{col 55}{space 4} .8355196{col 68}{space 3} 1.444478
{txt}{space 9}yr_t {c |}{col 15}{res}{space 2}-.1079064{col 27}{space 2} .0154748{col 38}{space 1}   -6.97{col 47}{space 3}0.000{col 55}{space 4}-.1382365{col 68}{space 3}-.0775763
{txt}yr_since_exit {c |}{col 15}{res}{space 2} -.191407{col 27}{space 2} .0083683{col 38}{space 1}  -22.87{col 47}{space 3}0.000{col 55}{space 4}-.2078086{col 68}{space 3}-.1750053
{txt}{space 13} {c |}
{space 3}gwf_caseid {c |}
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{space 10}23  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
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{txt}{space 10}31  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
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{txt}{space 10}38  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}51  {c |}{col 15}{res}{space 2} 1.856358{col 27}{space 2} .5696428{col 38}{space 1}    3.26{col 47}{space 3}0.001{col 55}{space 4} .7398791{col 68}{space 3} 2.972838
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{txt}{space 9}147  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
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{txt}{space 9}188  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
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{txt}{space 9}222  {c |}{col 15}{res}{space 2} 1.726977{col 27}{space 2} .5692845{col 38}{space 1}    3.03{col 47}{space 3}0.002{col 55}{space 4} .6111996{col 68}{space 3} 2.842754
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{txt}{space 9}255  {c |}{col 15}{res}{space 2} 1.575705{col 27}{space 2}  .553186{col 38}{space 1}    2.85{col 47}{space 3}0.004{col 55}{space 4}   .49148{col 68}{space 3} 2.659929
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{txt}{space 9}401  {c |}{col 15}{res}{space 2}-1.169964{col 27}{space 2} .8693622{col 38}{space 1}   -1.35{col 47}{space 3}0.178{col 55}{space 4}-2.873883{col 68}{space 3} .5339545
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{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-4.460369{col 27}{space 2} .5271569{col 38}{space 1}   -8.46{col 47}{space 3}0.000{col 55}{space 4}-5.493578{col 68}{space 3}-3.427161
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 20 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,648{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 27444.2
{txt}{col 15}std. dev:{res}{col 26} 15689.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6432{col 37}   14046{col 47}   26631{col 57}   41393{col 67}   49691

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26}  424.41
{txt}{col 15}std. dev:{res}{col 26} 236.453

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 287.018
{txt}{col 15}std. dev:{res}{col 26} 134.456

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. logit major_frev  NUML_aut $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 219 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -6164.553}  
Iteration 1:{space 3}log likelihood = {res:-5597.4994}  
Iteration 2:{space 3}log likelihood = {res:-4914.8646}  
Iteration 3:{space 3}log likelihood = {res:-4609.8075}  
Iteration 4:{space 3}log likelihood = {res:-4588.2369}  
Iteration 5:{space 3}log likelihood = {res:-4551.8418}  
Iteration 6:{space 3}log likelihood = {res:-4551.8415}  
Iteration 7:{space 3}log likelihood = {res:-4551.8415}  
Iteration 8:{space 3}log likelihood = {res:-4551.8415}  
Iteration 9:{space 3}log likelihood = {res:-4551.8415}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-4551.8415}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4551.8415}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4551.8415}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4551.8415}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4551.8415}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4551.8415}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4425.4842}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4401.9108}  
Iteration 18:{space 2}log likelihood = {res:-4401.7295}  
Iteration 19:{space 2}log likelihood = {res:-4401.7294}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,990
{txt}{col 49}LR chi2({res}91{txt}){col 67}= {res}   3525.65
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4401.7294{txt}{col 49}Pseudo R2{col 67}= {res}    0.2860

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   major_frev{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 5}NUML_aut {c |}{col 15}{res}{space 2}-.0999702{col 27}{space 2} .0135657{col 38}{space 1}   -7.37{col 47}{space 3}0.000{col 55}{space 4}-.1265584{col 68}{space 3}-.0733819
{txt}{space 9}yr_t {c |}{col 15}{res}{space 2}-.1118836{col 27}{space 2} .0153744{col 38}{space 1}   -7.28{col 47}{space 3}0.000{col 55}{space 4}-.1420169{col 68}{space 3}-.0817504
{txt}yr_since_exit {c |}{col 15}{res}{space 2}-.1853113{col 27}{space 2} .0082484{col 38}{space 1}  -22.47{col 47}{space 3}0.000{col 55}{space 4}-.2014778{col 68}{space 3}-.1691448
{txt}{space 13} {c |}
{space 3}gwf_caseid {c |}
{space 10}11  {c |}{col 15}{res}{space 2} .1720497{col 27}{space 2} .6505383{col 38}{space 1}    0.26{col 47}{space 3}0.791{col 55}{space 4}-1.102982{col 68}{space 3} 1.447081
{txt}{space 10}21  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}23  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}27  {c |}{col 15}{res}{space 2} 1.352841{col 27}{space 2} .6100466{col 38}{space 1}    2.22{col 47}{space 3}0.027{col 55}{space 4} .1571718{col 68}{space 3}  2.54851
{txt}{space 10}31  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}36  {c |}{col 15}{res}{space 2} .4232721{col 27}{space 2} .5962269{col 38}{space 1}    0.71{col 47}{space 3}0.478{col 55}{space 4}-.7453112{col 68}{space 3} 1.591855
{txt}{space 10}38  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}51  {c |}{col 15}{res}{space 2} 1.775996{col 27}{space 2} .5691911{col 38}{space 1}    3.12{col 47}{space 3}0.002{col 55}{space 4} .6604014{col 68}{space 3}  2.89159
{txt}{space 10}62  {c |}{col 15}{res}{space 2} .4515443{col 27}{space 2} .5821291{col 38}{space 1}    0.78{col 47}{space 3}0.438{col 55}{space 4}-.6894078{col 68}{space 3} 1.592496
{txt}{space 10}69  {c |}{col 15}{res}{space 2} 1.490169{col 27}{space 2} .5533577{col 38}{space 1}    2.69{col 47}{space 3}0.007{col 55}{space 4} .4056079{col 68}{space 3}  2.57473
{txt}{space 10}71  {c |}{col 15}{res}{space 2} .5642111{col 27}{space 2} .6322351{col 38}{space 1}    0.89{col 47}{space 3}0.372{col 55}{space 4}-.6749471{col 68}{space 3} 1.803369
{txt}{space 10}78  {c |}{col 15}{res}{space 2} .4100039{col 27}{space 2} .7118807{col 38}{space 1}    0.58{col 47}{space 3}0.565{col 55}{space 4}-.9852566{col 68}{space 3} 1.805264
{txt}{space 10}82  {c |}{col 15}{res}{space 2} 1.381772{col 27}{space 2} .5793132{col 38}{space 1}    2.39{col 47}{space 3}0.017{col 55}{space 4}  .246339{col 68}{space 3} 2.517205
{txt}{space 10}85  {c |}{col 15}{res}{space 2} .0899066{col 27}{space 2} .7681244{col 38}{space 1}    0.12{col 47}{space 3}0.907{col 55}{space 4} -1.41559{col 68}{space 3} 1.595403
{txt}{space 10}98  {c |}{col 15}{res}{space 2} .6624894{col 27}{space 2}  .588518{col 38}{space 1}    1.13{col 47}{space 3}0.260{col 55}{space 4}-.4909847{col 68}{space 3} 1.815964
{txt}{space 9}109  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 9}120  {c |}{col 15}{res}{space 2} 1.807311{col 27}{space 2} .5794991{col 38}{space 1}    3.12{col 47}{space 3}0.002{col 55}{space 4} .6715136{col 68}{space 3} 2.943109
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{txt}{space 9}147  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
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{txt}{space 9}188  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
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{txt}{space 9}436  {c |}{col 15}{res}{space 2} .4002423{col 27}{space 2} .6508137{col 38}{space 1}    0.61{col 47}{space 3}0.539{col 55}{space 4}-.8753291{col 68}{space 3} 1.675814
{txt}{space 9}439  {c |}{col 15}{res}{space 2} .8757771{col 27}{space 2} .6332645{col 38}{space 1}    1.38{col 47}{space 3}0.167{col 55}{space 4}-.3653986{col 68}{space 3} 2.116953
{txt}{space 9}441  {c |}{col 15}{res}{space 2} 2.537051{col 27}{space 2}  .528399{col 38}{space 1}    4.80{col 47}{space 3}0.000{col 55}{space 4} 1.501408{col 68}{space 3} 3.572694
{txt}{space 9}448  {c |}{col 15}{res}{space 2} 1.144099{col 27}{space 2} .5685949{col 38}{space 1}    2.01{col 47}{space 3}0.044{col 55}{space 4} .0296732{col 68}{space 3} 2.258524
{txt}{space 9}464  {c |}{col 15}{res}{space 2} .7900744{col 27}{space 2} .5573005{col 38}{space 1}    1.42{col 47}{space 3}0.156{col 55}{space 4}-.3022145{col 68}{space 3} 1.882363
{txt}{space 9}472  {c |}{col 15}{res}{space 2} .9048786{col 27}{space 2} 1.135014{col 38}{space 1}    0.80{col 47}{space 3}0.425{col 55}{space 4}-1.319707{col 68}{space 3} 3.129464
{txt}{space 9}474  {c |}{col 15}{res}{space 2} 1.486257{col 27}{space 2} .5585144{col 38}{space 1}    2.66{col 47}{space 3}0.008{col 55}{space 4} .3915885{col 68}{space 3} 2.580925
{txt}{space 9}476  {c |}{col 15}{res}{space 2} .7134492{col 27}{space 2} .5886084{col 38}{space 1}    1.21{col 47}{space 3}0.225{col 55}{space 4} -.440202{col 68}{space 3}   1.8671
{txt}{space 9}478  {c |}{col 15}{res}{space 2}-.1786225{col 27}{space 2} .8725186{col 38}{space 1}   -0.20{col 47}{space 3}0.838{col 55}{space 4}-1.888728{col 68}{space 3} 1.531483
{txt}{space 9}483  {c |}{col 15}{res}{space 2} .4565785{col 27}{space 2} .6056049{col 38}{space 1}    0.75{col 47}{space 3}0.451{col 55}{space 4}-.7303853{col 68}{space 3} 1.643542
{txt}{space 9}490  {c |}{col 15}{res}{space 2}-.2379162{col 27}{space 2} .7690246{col 38}{space 1}   -0.31{col 47}{space 3}0.757{col 55}{space 4}-1.745177{col 68}{space 3} 1.269344
{txt}{space 9}505  {c |}{col 15}{res}{space 2} .6547899{col 27}{space 2} .6196542{col 38}{space 1}    1.06{col 47}{space 3}0.291{col 55}{space 4}-.5597101{col 68}{space 3}  1.86929
{txt}{space 9}508  {c |}{col 15}{res}{space 2}-1.081011{col 27}{space 2} 1.121491{col 38}{space 1}   -0.96{col 47}{space 3}0.335{col 55}{space 4}-3.279092{col 68}{space 3}  1.11707
{txt}{space 9}525  {c |}{col 15}{res}{space 2}-1.246998{col 27}{space 2} 1.121058{col 38}{space 1}   -1.11{col 47}{space 3}0.266{col 55}{space 4}-3.444232{col 68}{space 3} .9502355
{txt}{space 9}527  {c |}{col 15}{res}{space 2}  .602777{col 27}{space 2} .6314732{col 38}{space 1}    0.95{col 47}{space 3}0.340{col 55}{space 4}-.6348877{col 68}{space 3} 1.840442
{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2}-3.086696{col 27}{space 2} .5061758{col 38}{space 1}   -6.10{col 47}{space 3}0.000{col 55}{space 4}-4.078782{col 68}{space 3}-2.094609
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,648{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 27444.2
{txt}{col 15}std. dev:{res}{col 26} 15689.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6432{col 37}   14046{col 47}   26631{col 57}   41393{col 67}   49691

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26}  424.41
{txt}{col 15}std. dev:{res}{col 26} 236.453

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 287.018
{txt}{col 15}std. dev:{res}{col 26} 134.456

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. logit major_frev prev_prestige_2 $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 219 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -6164.553}  
Iteration 1:{space 3}log likelihood = {res:-5625.0065}  
Iteration 2:{space 3}log likelihood = {res: -4948.248}  
Iteration 3:{space 3}log likelihood = {res:-4641.2672}  
Iteration 4:{space 3}log likelihood = {res:-4620.0281}  
Iteration 5:{space 3}log likelihood = {res:-4583.6328}  
Iteration 6:{space 3}log likelihood = {res:-4583.6326}  
Iteration 7:{space 3}log likelihood = {res:-4583.6326}  
Iteration 8:{space 3}log likelihood = {res:-4583.6325}  
Iteration 9:{space 3}log likelihood = {res:-4583.6325}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-4583.6325}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4583.6325}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4583.6325}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4583.6325}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4583.6325}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4583.6325}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4583.6325}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4458.2608}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4453.4251}  
Iteration 19:{space 2}log likelihood = {res:-4441.0865}  
Iteration 20:{space 2}log likelihood = {res:-4438.4971}  
Iteration 21:{space 2}log likelihood = {res:-4434.5836}  
Iteration 22:{space 2}log likelihood = {res:-4434.3581}  
Iteration 23:{space 2}log likelihood = {res:-4434.3579}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,990
{txt}{col 49}LR chi2({res}91{txt}){col 67}= {res}   3460.39
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4434.3579{txt}{col 49}Pseudo R2{col 67}= {res}    0.2807

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
prev_prestige_2 {c |}{col 17}{res}{space 2} .1624571{col 29}{space 2} .0807591{col 40}{space 1}    2.01{col 49}{space 3}0.044{col 57}{space 4} .0041721{col 70}{space 3} .3207421
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2}-.1087247{col 29}{space 2} .0154495{col 40}{space 1}   -7.04{col 49}{space 3}0.000{col 57}{space 4} -.139005{col 70}{space 3}-.0784443
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.1905523{col 29}{space 2} .0083446{col 40}{space 1}  -22.84{col 49}{space 3}0.000{col 57}{space 4}-.2069075{col 70}{space 3}-.1741972
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}11  {c |}{col 17}{res}{space 2} .1356654{col 29}{space 2}  .650225{col 40}{space 1}    0.21{col 49}{space 3}0.835{col 57}{space 4}-1.138752{col 70}{space 3} 1.410083
{txt}{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} 1.323295{col 29}{space 2} .6096398{col 40}{space 1}    2.17{col 49}{space 3}0.030{col 57}{space 4} .1284224{col 70}{space 3} 2.518167
{txt}{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}36  {c |}{col 17}{res}{space 2} .5061373{col 29}{space 2} .5964164{col 40}{space 1}    0.85{col 49}{space 3}0.396{col 57}{space 4}-.6628174{col 70}{space 3} 1.675092
{txt}{space 12}38  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}51  {c |}{col 17}{res}{space 2} 1.659902{col 29}{space 2} .5690311{col 40}{space 1}    2.92{col 49}{space 3}0.004{col 57}{space 4} .5446217{col 70}{space 3} 2.775183
{txt}{space 12}62  {c |}{col 17}{res}{space 2} .6192481{col 29}{space 2} .5818672{col 40}{space 1}    1.06{col 49}{space 3}0.287{col 57}{space 4}-.5211906{col 70}{space 3} 1.759687
{txt}{space 12}69  {c |}{col 17}{res}{space 2} 1.456813{col 29}{space 2} .5532537{col 40}{space 1}    2.63{col 49}{space 3}0.008{col 57}{space 4} .3724559{col 70}{space 3} 2.541171
{txt}{space 12}71  {c |}{col 17}{res}{space 2} .3924981{col 29}{space 2} .6317066{col 40}{space 1}    0.62{col 49}{space 3}0.534{col 57}{space 4}-.8456242{col 70}{space 3}  1.63062
{txt}{space 12}78  {c |}{col 17}{res}{space 2} .2001476{col 29}{space 2} .7116235{col 40}{space 1}    0.28{col 49}{space 3}0.779{col 57}{space 4}-1.194609{col 70}{space 3} 1.594904
{txt}{space 12}82  {c |}{col 17}{res}{space 2} 1.427602{col 29}{space 2} .5791057{col 40}{space 1}    2.47{col 49}{space 3}0.014{col 57}{space 4} .2925759{col 70}{space 3} 2.562628
{txt}{space 12}85  {c |}{col 17}{res}{space 2} .1506029{col 29}{space 2} .7681923{col 40}{space 1}    0.20{col 49}{space 3}0.845{col 57}{space 4}-1.355026{col 70}{space 3} 1.656232
{txt}{space 12}98  {c |}{col 17}{res}{space 2} .7108349{col 29}{space 2}  .588686{col 40}{space 1}    1.21{col 49}{space 3}0.227{col 57}{space 4}-.4429684{col 70}{space 3} 1.864638
{txt}{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}120  {c |}{col 17}{res}{space 2} 1.821286{col 29}{space 2} .5791881{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4} .6860979{col 70}{space 3} 2.956474
{txt}{space 11}141  {c |}{col 17}{res}{space 2} .7618954{col 29}{space 2} .6322351{col 40}{space 1}    1.21{col 49}{space 3}0.228{col 57}{space 4}-.4772626{col 70}{space 3} 2.001053
{txt}{space 11}147  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}150  {c |}{col 17}{res}{space 2} .2299123{col 29}{space 2} .7122583{col 40}{space 1}    0.32{col 49}{space 3}0.747{col 57}{space 4}-1.166088{col 70}{space 3} 1.625913
{txt}{space 11}154  {c |}{col 17}{res}{space 2} .7356977{col 29}{space 2} .7168266{col 40}{space 1}    1.03{col 49}{space 3}0.305{col 57}{space 4}-.6692566{col 70}{space 3} 2.140652
{txt}{space 11}159  {c |}{col 17}{res}{space 2} 1.146515{col 29}{space 2} .5894323{col 40}{space 1}    1.95{col 49}{space 3}0.052{col 57}{space 4}-.0087513{col 70}{space 3} 2.301781
{txt}{space 11}170  {c |}{col 17}{res}{space 2} 2.220795{col 29}{space 2} .5542919{col 40}{space 1}    4.01{col 49}{space 3}0.000{col 57}{space 4} 1.134403{col 70}{space 3} 3.307187
{txt}{space 11}174  {c |}{col 17}{res}{space 2} .1396147{col 29}{space 2} .7117226{col 40}{space 1}    0.20{col 49}{space 3}0.844{col 57}{space 4}-1.255336{col 70}{space 3} 1.534565
{txt}{space 11}180  {c |}{col 17}{res}{space 2} 1.061303{col 29}{space 2} .7198218{col 40}{space 1}    1.47{col 49}{space 3}0.140{col 57}{space 4}-.3495214{col 70}{space 3} 2.472128
{txt}{space 11}182  {c |}{col 17}{res}{space 2}-1.128742{col 29}{space 2}  1.12233{col 40}{space 1}   -1.01{col 49}{space 3}0.315{col 57}{space 4}-3.328468{col 70}{space 3} 1.070985
{txt}{space 11}184  {c |}{col 17}{res}{space 2} .0480913{col 29}{space 2} .6497952{col 40}{space 1}    0.07{col 49}{space 3}0.941{col 57}{space 4}-1.225484{col 70}{space 3} 1.321666
{txt}{space 11}188  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}196  {c |}{col 17}{res}{space 2}-.1761603{col 29}{space 2} .7111195{col 40}{space 1}   -0.25{col 49}{space 3}0.804{col 57}{space 4}-1.569929{col 70}{space 3} 1.217608
{txt}{space 11}200  {c |}{col 17}{res}{space 2}-.6705708{col 29}{space 2} 1.122425{col 40}{space 1}   -0.60{col 49}{space 3}0.550{col 57}{space 4}-2.870484{col 70}{space 3} 1.529342
{txt}{space 11}203  {c |}{col 17}{res}{space 2}  2.43187{col 29}{space 2} .5544197{col 40}{space 1}    4.39{col 49}{space 3}0.000{col 57}{space 4} 1.345227{col 70}{space 3} 3.518513
{txt}{space 11}205  {c |}{col 17}{res}{space 2} 2.022935{col 29}{space 2} .5945755{col 40}{space 1}    3.40{col 49}{space 3}0.001{col 57}{space 4} .8575884{col 70}{space 3} 3.188281
{txt}{space 11}209  {c |}{col 17}{res}{space 2} .3345752{col 29}{space 2} .5958447{col 40}{space 1}    0.56{col 49}{space 3}0.574{col 57}{space 4}-.8332589{col 70}{space 3} 1.502409
{txt}{space 11}217  {c |}{col 17}{res}{space 2}-.5182712{col 29}{space 2} 1.123866{col 40}{space 1}   -0.46{col 49}{space 3}0.645{col 57}{space 4}-2.721008{col 70}{space 3} 1.684465
{txt}{space 11}219  {c |}{col 17}{res}{space 2} .1089791{col 29}{space 2} .7116057{col 40}{space 1}    0.15{col 49}{space 3}0.878{col 57}{space 4}-1.285742{col 70}{space 3} 1.503701
{txt}{space 11}222  {c |}{col 17}{res}{space 2} 1.564809{col 29}{space 2} .5689557{col 40}{space 1}    2.75{col 49}{space 3}0.006{col 57}{space 4} .4496767{col 70}{space 3} 2.679942
{txt}{space 11}227  {c |}{col 17}{res}{space 2} 3.572072{col 29}{space 2} .6770865{col 40}{space 1}    5.28{col 49}{space 3}0.000{col 57}{space 4} 2.245007{col 70}{space 3} 4.899138
{txt}{space 11}229  {c |}{col 17}{res}{space 2} 1.037416{col 29}{space 2} .5973717{col 40}{space 1}    1.74{col 49}{space 3}0.082{col 57}{space 4}-.1334107{col 70}{space 3} 2.208243
{txt}{space 11}232  {c |}{col 17}{res}{space 2}  1.25767{col 29}{space 2} .5608933{col 40}{space 1}    2.24{col 49}{space 3}0.025{col 57}{space 4} .1583392{col 70}{space 3}    2.357
{txt}{space 11}238  {c |}{col 17}{res}{space 2} .1561513{col 29}{space 2} .6167895{col 40}{space 1}    0.25{col 49}{space 3}0.800{col 57}{space 4}-1.052734{col 70}{space 3} 1.365036
{txt}{space 11}248  {c |}{col 17}{res}{space 2} .9520537{col 29}{space 2} .5716922{col 40}{space 1}    1.67{col 49}{space 3}0.096{col 57}{space 4}-.1684425{col 70}{space 3}  2.07255
{txt}{space 11}255  {c |}{col 17}{res}{space 2} 1.562589{col 29}{space 2} .5531023{col 40}{space 1}    2.83{col 49}{space 3}0.005{col 57}{space 4} .4785286{col 70}{space 3}  2.64665
{txt}{space 11}260  {c |}{col 17}{res}{space 2} 1.131824{col 29}{space 2}  .572427{col 40}{space 1}    1.98{col 49}{space 3}0.048{col 57}{space 4} .0098873{col 70}{space 3}  2.25376
{txt}{space 11}265  {c |}{col 17}{res}{space 2} .2184623{col 29}{space 2} .6051943{col 40}{space 1}    0.36{col 49}{space 3}0.718{col 57}{space 4}-.9676967{col 70}{space 3} 1.404621
{txt}{space 11}270  {c |}{col 17}{res}{space 2} .0571155{col 29}{space 2} .6307692{col 40}{space 1}    0.09{col 49}{space 3}0.928{col 57}{space 4} -1.17917{col 70}{space 3}   1.2934
{txt}{space 11}284  {c |}{col 17}{res}{space 2} 1.268044{col 29}{space 2}  .577446{col 40}{space 1}    2.20{col 49}{space 3}0.028{col 57}{space 4} .1362705{col 70}{space 3} 2.399817
{txt}{space 11}290  {c |}{col 17}{res}{space 2} .7523431{col 29}{space 2} .6509663{col 40}{space 1}    1.16{col 49}{space 3}0.248{col 57}{space 4}-.5235274{col 70}{space 3} 2.028214
{txt}{space 11}300  {c |}{col 17}{res}{space 2} 1.236996{col 29}{space 2} .5612166{col 40}{space 1}    2.20{col 49}{space 3}0.028{col 57}{space 4} .1370322{col 70}{space 3} 2.336961
{txt}{space 11}302  {c |}{col 17}{res}{space 2} 1.062533{col 29}{space 2} .5683603{col 40}{space 1}    1.87{col 49}{space 3}0.062{col 57}{space 4}-.0514331{col 70}{space 3} 2.176498
{txt}{space 11}304  {c |}{col 17}{res}{space 2} 2.138676{col 29}{space 2} .5441405{col 40}{space 1}    3.93{col 49}{space 3}0.000{col 57}{space 4}  1.07218{col 70}{space 3} 3.205171
{txt}{space 11}306  {c |}{col 17}{res}{space 2} 2.455613{col 29}{space 2} .5452915{col 40}{space 1}    4.50{col 49}{space 3}0.000{col 57}{space 4} 1.386862{col 70}{space 3} 3.524365
{txt}{space 11}310  {c |}{col 17}{res}{space 2} .9548483{col 29}{space 2} .6066708{col 40}{space 1}    1.57{col 49}{space 3}0.116{col 57}{space 4}-.2342046{col 70}{space 3} 2.143901
{txt}{space 11}312  {c |}{col 17}{res}{space 2} .9158678{col 29}{space 2} .6345564{col 40}{space 1}    1.44{col 49}{space 3}0.149{col 57}{space 4}-.3278398{col 70}{space 3} 2.159576
{txt}{space 11}316  {c |}{col 17}{res}{space 2}  2.07325{col 29}{space 2} .5745519{col 40}{space 1}    3.61{col 49}{space 3}0.000{col 57}{space 4} .9471491{col 70}{space 3} 3.199351
{txt}{space 11}320  {c |}{col 17}{res}{space 2} .1368839{col 29}{space 2} .6753966{col 40}{space 1}    0.20{col 49}{space 3}0.839{col 57}{space 4}-1.186869{col 70}{space 3} 1.460637
{txt}{space 11}323  {c |}{col 17}{res}{space 2} 1.469213{col 29}{space 2} .5528675{col 40}{space 1}    2.66{col 49}{space 3}0.008{col 57}{space 4} .3856131{col 70}{space 3} 2.552814
{txt}{space 11}334  {c |}{col 17}{res}{space 2} 1.502449{col 29}{space 2} .5467107{col 40}{space 1}    2.75{col 49}{space 3}0.006{col 57}{space 4}  .430916{col 70}{space 3} 2.573983
{txt}{space 11}336  {c |}{col 17}{res}{space 2} 1.753723{col 29}{space 2} .5540678{col 40}{space 1}    3.17{col 49}{space 3}0.002{col 57}{space 4} .6677699{col 70}{space 3} 2.839676
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-3.403215{col 29}{space 2} .5051837{col 40}{space 1}   -6.74{col 49}{space 3}0.000{col 57}{space 4}-4.393357{col 70}{space 3}-2.413073
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 4 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,648{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 27444.2
{txt}{col 15}std. dev:{res}{col 26} 15689.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6432{col 37}   14046{col 47}   26631{col 57}   41393{col 67}   49691

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26}  424.41
{txt}{col 15}std. dev:{res}{col 26} 236.453

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 287.018
{txt}{col 15}std. dev:{res}{col 26} 134.456

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. logit major_frev  prev_military $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 219 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -6164.553}  
Iteration 1:{space 3}log likelihood = {res:-5626.1236}  
Iteration 2:{space 3}log likelihood = {res:-4949.6899}  
Iteration 3:{space 3}log likelihood = {res:-4642.9506}  
Iteration 4:{space 3}log likelihood = {res:-4621.8152}  
Iteration 5:{space 3}log likelihood = {res:-4585.4218}  
Iteration 6:{space 3}log likelihood = {res:-4585.4215}  
Iteration 7:{space 3}log likelihood = {res:-4585.4215}  
Iteration 8:{space 3}log likelihood = {res:-4585.4215}  
Iteration 9:{space 3}log likelihood = {res:-4585.4215}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-4585.4215}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4585.4215}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4585.4215}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4585.4215}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4585.4215}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4585.4215}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4585.4215}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4585.4215}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4585.4215}  (backed up)
Iteration 19:{space 2}log likelihood = {res:-4455.0538}  (backed up)
Iteration 20:{space 2}log likelihood = {res:-4436.9213}  
Iteration 21:{space 2}log likelihood = {res:-4436.1347}  
Iteration 22:{space 2}log likelihood = {res:-4436.1342}  
Iteration 23:{space 2}log likelihood = {res:-4436.1342}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,990
{txt}{col 49}LR chi2({res}91{txt}){col 67}= {res}   3456.84
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4436.1342{txt}{col 49}Pseudo R2{col 67}= {res}    0.2804

{txt}{hline 14}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}   major_frev{col 15}{c |}      Coef.{col 27}   Std. Err.{col 39}      z{col 47}   P>|z|{col 55}     [95% Con{col 68}f. Interval]
{hline 14}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
prev_military {c |}{col 15}{res}{space 2}-.1017065{col 27}{space 2} .1646779{col 38}{space 1}   -0.62{col 47}{space 3}0.537{col 55}{space 4}-.4244693{col 68}{space 3} .2210564
{txt}{space 9}yr_t {c |}{col 15}{res}{space 2}-.1085106{col 27}{space 2} .0154546{col 38}{space 1}   -7.02{col 47}{space 3}0.000{col 55}{space 4}-.1388011{col 68}{space 3}-.0782201
{txt}yr_since_exit {c |}{col 15}{res}{space 2}-.1908075{col 27}{space 2} .0083531{col 38}{space 1}  -22.84{col 47}{space 3}0.000{col 55}{space 4}-.2071793{col 68}{space 3}-.1744358
{txt}{space 13} {c |}
{space 3}gwf_caseid {c |}
{space 10}11  {c |}{col 15}{res}{space 2} .1294502{col 27}{space 2} .6501874{col 38}{space 1}    0.20{col 47}{space 3}0.842{col 55}{space 4}-1.144894{col 68}{space 3} 1.403794
{txt}{space 10}21  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}23  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}27  {c |}{col 15}{res}{space 2} 1.321227{col 27}{space 2}  .609559{col 38}{space 1}    2.17{col 47}{space 3}0.030{col 55}{space 4} .1265131{col 68}{space 3}  2.51594
{txt}{space 10}31  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}36  {c |}{col 15}{res}{space 2} .4782965{col 27}{space 2} .5963715{col 38}{space 1}    0.80{col 47}{space 3}0.423{col 55}{space 4}-.6905702{col 68}{space 3} 1.647163
{txt}{space 10}38  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
{space 10}51  {c |}{col 15}{res}{space 2} 1.664174{col 27}{space 2}  .568962{col 38}{space 1}    2.92{col 47}{space 3}0.003{col 55}{space 4} .5490291{col 68}{space 3} 2.779319
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{space 9}120  {c |}{col 15}{res}{space 2}  1.82602{col 27}{space 2} .5791107{col 38}{space 1}    3.15{col 47}{space 3}0.002{col 55}{space 4} .6909843{col 68}{space 3} 2.961057
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{txt}{space 9}147  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
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{txt}{space 9}182  {c |}{col 15}{res}{space 2}-1.128962{col 27}{space 2} 1.122312{col 38}{space 1}   -1.01{col 47}{space 3}0.314{col 55}{space 4}-3.328653{col 68}{space 3}  1.07073
{txt}{space 9}184  {c |}{col 15}{res}{space 2} .0383827{col 27}{space 2} .6497302{col 38}{space 1}    0.06{col 47}{space 3}0.953{col 55}{space 4}-1.235065{col 68}{space 3} 1.311831
{txt}{space 9}188  {c |}{col 15}{res}{space 2}        0{col 27}{txt}  (empty)
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{txt}{space 9}222  {c |}{col 15}{res}{space 2} 1.576033{col 27}{space 2}  .568869{col 38}{space 1}    2.77{col 47}{space 3}0.006{col 55}{space 4}   .46107{col 68}{space 3} 2.690995
{txt}{space 9}227  {c |}{col 15}{res}{space 2}  3.58536{col 27}{space 2} .6768113{col 38}{space 1}    5.30{col 47}{space 3}0.000{col 55}{space 4} 2.258834{col 68}{space 3} 4.911885
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{txt}{space 13} {c |}
{space 8}_cons {c |}{col 15}{res}{space 2} -3.36182{col 27}{space 2} .5049583{col 38}{space 1}   -6.66{col 47}{space 3}0.000{col 55}{space 4} -4.35152{col 68}{space 3} -2.37212
{txt}{hline 14}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 4 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,648{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 27444.2
{txt}{col 15}std. dev:{res}{col 26} 15689.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6432{col 37}   14046{col 47}   26631{col 57}   41393{col 67}   49691

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26}  424.41
{txt}{col 15}std. dev:{res}{col 26} 236.453

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 287.018
{txt}{col 15}std. dev:{res}{col 26} 134.456

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. logit major_frev $ind $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 219 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -6164.553}  
Iteration 1:{space 3}log likelihood = {res:-5577.3921}  
Iteration 2:{space 3}log likelihood = {res:-4879.2475}  
Iteration 3:{space 3}log likelihood = {res:-4563.4198}  
Iteration 4:{space 3}log likelihood = {res: -4542.439}  
Iteration 5:{space 3}log likelihood = {res:-4506.0479}  
Iteration 6:{space 3}log likelihood = {res:-4506.0477}  
Iteration 7:{space 3}log likelihood = {res:-4506.0477}  
Iteration 8:{space 3}log likelihood = {res:-4506.0476}  
Iteration 9:{space 3}log likelihood = {res:-4506.0476}  
Iteration 10:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4398.8588}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4356.1752}  
Iteration 19:{space 2}log likelihood = {res:-4355.7063}  
Iteration 20:{space 2}log likelihood = {res:-4355.7051}  
Iteration 21:{space 2}log likelihood = {res:-4355.7051}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,990
{txt}{col 49}LR chi2({res}94{txt}){col 67}= {res}   3617.70
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4355.7051{txt}{col 49}Pseudo R2{col 67}= {res}    0.2934

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.223257{col 29}{space 2} .1565125{col 40}{space 1}    7.82{col 49}{space 3}0.000{col 57}{space 4} .9164987{col 70}{space 3} 1.530016
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.1094972{col 29}{space 2} .0136258{col 40}{space 1}   -8.04{col 49}{space 3}0.000{col 57}{space 4}-.1362033{col 70}{space 3}-.0827911
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2}  .242798{col 29}{space 2} .0885154{col 40}{space 1}    2.74{col 49}{space 3}0.006{col 57}{space 4}  .069311{col 70}{space 3}  .416285
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.2105031{col 29}{space 2} .1801253{col 40}{space 1}   -1.17{col 49}{space 3}0.243{col 57}{space 4}-.5635422{col 70}{space 3}  .142536
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2}-.1117965{col 29}{space 2}  .015391{col 40}{space 1}   -7.26{col 49}{space 3}0.000{col 57}{space 4}-.1419622{col 70}{space 3}-.0816308
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.1849805{col 29}{space 2} .0082563{col 40}{space 1}  -22.40{col 49}{space 3}0.000{col 57}{space 4}-.2011626{col 70}{space 3}-.1687984
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}11  {c |}{col 17}{res}{space 2}  .281647{col 29}{space 2} .6509295{col 40}{space 1}    0.43{col 49}{space 3}0.665{col 57}{space 4}-.9941513{col 70}{space 3} 1.557445
{txt}{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} 1.338661{col 29}{space 2} .6105692{col 40}{space 1}    2.19{col 49}{space 3}0.028{col 57}{space 4} .1419671{col 70}{space 3} 2.535354
{txt}{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}36  {c |}{col 17}{res}{space 2}  .643113{col 29}{space 2} .5967752{col 40}{space 1}    1.08{col 49}{space 3}0.281{col 57}{space 4} -.526545{col 70}{space 3} 1.812771
{txt}{space 12}38  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}51  {c |}{col 17}{res}{space 2} 1.945146{col 29}{space 2} .5703669{col 40}{space 1}    3.41{col 49}{space 3}0.001{col 57}{space 4} .8272472{col 70}{space 3} 3.063044
{txt}{space 12}62  {c |}{col 17}{res}{space 2} .3706669{col 29}{space 2} .5823532{col 40}{space 1}    0.64{col 49}{space 3}0.524{col 57}{space 4}-.7707243{col 70}{space 3} 1.512058
{txt}{space 12}69  {c |}{col 17}{res}{space 2} 1.528021{col 29}{space 2} .5537433{col 40}{space 1}    2.76{col 49}{space 3}0.006{col 57}{space 4} .4427037{col 70}{space 3} 2.613338
{txt}{space 12}71  {c |}{col 17}{res}{space 2} .6261891{col 29}{space 2}  .632872{col 40}{space 1}    0.99{col 49}{space 3}0.322{col 57}{space 4}-.6142172{col 70}{space 3} 1.866595
{txt}{space 12}78  {c |}{col 17}{res}{space 2} .5431585{col 29}{space 2} .7122659{col 40}{space 1}    0.76{col 49}{space 3}0.446{col 57}{space 4}-.8528569{col 70}{space 3} 1.939174
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.267781{col 29}{space 2} .5284587{col 40}{space 1}   -8.08{col 49}{space 3}0.000{col 57}{space 4}-5.303541{col 70}{space 3}-3.232021
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 14 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,648{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 27444.2
{txt}{col 15}std. dev:{res}{col 26} 15689.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6432{col 37}   14046{col 47}   26631{col 57}   41393{col 67}   49691

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26}  424.41
{txt}{col 15}std. dev:{res}{col 26} 236.453

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 287.018
{txt}{col 15}std. dev:{res}{col 26} 134.456

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. 
. *** Table A3 ***
. *** Model A3.1 ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. logit major_frev i.prev_core##c.NUML_aut prev_prestige_2 prev_military   female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6161.6342}  
Iteration 1:{space 3}log likelihood = {res:-5531.5742}  
Iteration 2:{space 3}log likelihood = {res:-4847.3541}  
Iteration 3:{space 3}log likelihood = {res:-4548.1784}  
Iteration 4:{space 3}log likelihood = {res:-4525.5198}  
Iteration 5:{space 3}log likelihood = {res:-4488.2745}  
Iteration 6:{space 3}log likelihood = {res:-4488.2695}  
Iteration 7:{space 3}log likelihood = {res:-4488.2693}  
Iteration 8:{space 3}log likelihood = {res:-4488.2692}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-4488.2692}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-4488.2692}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4488.2692}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4488.2692}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4488.2692}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4488.2692}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4488.2692}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4488.2692}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4397.0224}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4359.6538}  (backed up)
Iteration 19:{space 2}log likelihood = {res: -4353.077}  
Iteration 20:{space 2}log likelihood = {res:-4346.8905}  
Iteration 21:{space 2}log likelihood = {res:-4341.4419}  
Iteration 22:{space 2}log likelihood = {res:  -4338.35}  
Iteration 23:{space 2}log likelihood = {res:-4337.8902}  
Iteration 24:{space 2}log likelihood = {res:-4337.8901}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,408
{txt}{col 49}LR chi2({res}101{txt}){col 67}= {res}   3647.49
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4337.8901{txt}{col 49}Pseudo R2{col 67}= {res}    0.2960

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}          major_frev{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
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prev_core#c.NUML_aut {c |}
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{txt}{space 16}419  {c |}{col 22}{res}{space 2} 4.493602{col 34}{space 2} 2.381974{col 45}{space 1}    1.89{col 54}{space 3}0.059{col 62}{space 4}-.1749818{col 75}{space 3} 9.162185
{txt}{space 16}428  {c |}{col 22}{res}{space 2}-.5474926{col 34}{space 2} 1.370346{col 45}{space 1}   -0.40{col 54}{space 3}0.690{col 62}{space 4}-3.233321{col 75}{space 3} 2.138336
{txt}{space 16}436  {c |}{col 22}{res}{space 2}-1.864106{col 34}{space 2} 1.066547{col 45}{space 1}   -1.75{col 54}{space 3}0.080{col 62}{space 4}  -3.9545{col 75}{space 3}  .226287
{txt}{space 16}439  {c |}{col 22}{res}{space 2}-.1492455{col 34}{space 2} .5922453{col 45}{space 1}   -0.25{col 54}{space 3}0.801{col 62}{space 4}-1.310025{col 75}{space 3} 1.011534
{txt}{space 16}441  {c |}{col 22}{res}{space 2}-.4253129{col 34}{space 2} .8489743{col 45}{space 1}   -0.50{col 54}{space 3}0.616{col 62}{space 4}-2.089272{col 75}{space 3} 1.238646
{txt}{space 16}448  {c |}{col 22}{res}{space 2} 3.211697{col 34}{space 2} 2.465419{col 45}{space 1}    1.30{col 54}{space 3}0.193{col 62}{space 4}-1.620437{col 75}{space 3}  8.04383
{txt}{space 16}464  {c |}{col 22}{res}{space 2}-3.669742{col 34}{space 2} 1.272353{col 45}{space 1}   -2.88{col 54}{space 3}0.004{col 62}{space 4}-6.163508{col 75}{space 3}-1.175975
{txt}{space 16}472  {c |}{col 22}{res}{space 2} 3.023714{col 34}{space 2} 3.198472{col 45}{space 1}    0.95{col 54}{space 3}0.344{col 62}{space 4}-3.245177{col 75}{space 3} 9.292604
{txt}{space 16}474  {c |}{col 22}{res}{space 2} 1.687947{col 34}{space 2} 3.369977{col 45}{space 1}    0.50{col 54}{space 3}0.616{col 62}{space 4}-4.917088{col 75}{space 3} 8.292981
{txt}{space 16}476  {c |}{col 22}{res}{space 2} .2426246{col 34}{space 2} 3.463085{col 45}{space 1}    0.07{col 54}{space 3}0.944{col 62}{space 4}-6.544897{col 75}{space 3} 7.030146
{txt}{space 16}478  {c |}{col 22}{res}{space 2}-2.162702{col 34}{space 2} 3.712452{col 45}{space 1}   -0.58{col 54}{space 3}0.560{col 62}{space 4}-9.438974{col 75}{space 3} 5.113569
{txt}{space 16}483  {c |}{col 22}{res}{space 2}-1.657596{col 34}{space 2} .7502167{col 45}{space 1}   -2.21{col 54}{space 3}0.027{col 62}{space 4}-3.127994{col 75}{space 3}-.1871988
{txt}{space 16}490  {c |}{col 22}{res}{space 2}-1.355291{col 34}{space 2} 3.306727{col 45}{space 1}   -0.41{col 54}{space 3}0.682{col 62}{space 4}-7.836357{col 75}{space 3} 5.125776
{txt}{space 16}505  {c |}{col 22}{res}{space 2}-2.858902{col 34}{space 2} 1.539314{col 45}{space 1}   -1.86{col 54}{space 3}0.063{col 62}{space 4}-5.875901{col 75}{space 3} .1580977
{txt}{space 16}508  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (omitted)
{space 16}525  {c |}{col 22}{res}{space 2} .3679971{col 34}{space 2} 1.355961{col 45}{space 1}    0.27{col 54}{space 3}0.786{col 62}{space 4}-2.289637{col 75}{space 3} 3.025631
{txt}{space 16}527  {c |}{col 22}{res}{space 2}        0{col 34}{txt}  (omitted)
{space 20} {c |}
{space 15}_cons {c |}{col 22}{res}{space 2}-23.31244{col 34}{space 2} 12.45183{col 45}{space 1}   -1.87{col 54}{space 3}0.061{col 62}{space 4}-47.71757{col 75}{space 3}  1.09269
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 9 failures and 0 successes completely determined.{p_end}

{com}. 
. *** Model A3.2 ***
. logit major_frev i.prev_core i.prev_prestige_2##c.NUML_aut prev_military  female i.dem_const i.coldwar $pre $macro i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 228 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 144 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res: -6617.329}  
Iteration 1:{space 3}log likelihood = {res:-6208.8496}  
Iteration 2:{space 3}log likelihood = {res:  -5724.72}  
Iteration 3:{space 3}log likelihood = {res:-5586.8957}  
Iteration 4:{space 3}log likelihood = {res:-5578.6853}  
Iteration 5:{space 3}log likelihood = {res:-5542.6228}  
Iteration 6:{space 3}log likelihood = {res:-5542.6228}  
Iteration 7:{space 3}log likelihood = {res:-5542.6228}  
Iteration 8:{space 3}log likelihood = {res:-5542.6228}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-5542.6228}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-5542.6228}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-5542.6228}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-5542.6228}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-5542.6228}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-5542.6228}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-5542.6228}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-5542.6228}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-5542.6228}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-5542.6228}  (backed up)
Iteration 19:{space 2}log likelihood = {res:-5542.6228}  (backed up)
Iteration 20:{space 2}log likelihood = {res:-5542.6228}  (backed up)
Iteration 21:{space 2}log likelihood = {res:-5434.6725}  (backed up)
Iteration 22:{space 2}log likelihood = {res:-5374.1955}  (backed up)
Iteration 23:{space 2}log likelihood = {res:-5361.2061}  
Iteration 24:{space 2}log likelihood = {res: -5359.048}  
Iteration 25:{space 2}log likelihood = {res:-5359.0325}  
Iteration 26:{space 2}log likelihood = {res:-5359.0325}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   200,086
{txt}{col 49}LR chi2({res}101{txt}){col 67}= {res}   2516.59
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5359.0325{txt}{col 49}Pseudo R2{col 67}= {res}    0.1902

{txt}{hline 27}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}                major_frev{col 28}{c |}      Coef.{col 40}   Std. Err.{col 52}      z{col 60}   P>|z|{col 68}     [95% Con{col 81}f. Interval]
{hline 27}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}1.prev_core {c |}{col 28}{res}{space 2} 1.176872{col 40}{space 2} .1434545{col 51}{space 1}    8.20{col 60}{space 3}0.000{col 68}{space 4} .8957066{col 81}{space 3} 1.458038
{txt}{space 9}1.prev_prestige_2 {c |}{col 28}{res}{space 2} .2030214{col 40}{space 2} .1147318{col 51}{space 1}    1.77{col 60}{space 3}0.077{col 68}{space 4}-.0218489{col 81}{space 3} .4278916
{txt}{space 18}NUML_aut {c |}{col 28}{res}{space 2}-.1599389{col 40}{space 2} .0165885{col 51}{space 1}   -9.64{col 60}{space 3}0.000{col 68}{space 4}-.1924518{col 81}{space 3}-.1274259
{txt}{space 26} {c |}
prev_prestige_2#c.NUML_aut {c |}
{space 24}1  {c |}{col 28}{res}{space 2} .0453002{col 40}{space 2} .0273353{col 51}{space 1}    1.66{col 60}{space 3}0.097{col 68}{space 4}-.0082761{col 81}{space 3} .0988765
{txt}{space 26} {c |}
{space 13}prev_military {c |}{col 28}{res}{space 2}-.1805128{col 40}{space 2} .1670844{col 51}{space 1}   -1.08{col 60}{space 3}0.280{col 68}{space 4}-.5079923{col 81}{space 3} .1469666
{txt}{space 20}female {c |}{col 28}{res}{space 2} .5754926{col 40}{space 2} .1210137{col 51}{space 1}    4.76{col 60}{space 3}0.000{col 68}{space 4} .3383102{col 81}{space 3}  .812675
{txt}{space 15}1.dem_const {c |}{col 28}{res}{space 2}-1.164837{col 40}{space 2} .2140595{col 51}{space 1}   -5.44{col 60}{space 3}0.000{col 68}{space 4}-1.584386{col 81}{space 3}-.7452879
{txt}{space 17}1.coldwar {c |}{col 28}{res}{space 2} .5127953{col 40}{space 2} .2374303{col 51}{space 1}    2.16{col 60}{space 3}0.031{col 68}{space 4} .0474404{col 81}{space 3} .9781502
{txt}{space 9}prev_gwf_military {c |}{col 28}{res}{space 2}-17.78934{col 40}{space 2} 1.834706{col 51}{space 1}   -9.70{col 60}{space 3}0.000{col 68}{space 4} -21.3853{col 81}{space 3}-14.19338
{txt}{space 12}prev_gwf_party {c |}{col 28}{res}{space 2}-4.470384{col 40}{space 2}  .632727{col 51}{space 1}   -7.07{col 60}{space 3}0.000{col 68}{space 4}-5.710507{col 81}{space 3}-3.230262
{txt}{space 9}prev_gwf_personal {c |}{col 28}{res}{space 2} 1.725023{col 40}{space 2} .4239171{col 51}{space 1}    4.07{col 60}{space 3}0.000{col 68}{space 4}  .894161{col 81}{space 3} 2.555886
{txt}{space 16}lrgdpopct1 {c |}{col 28}{res}{space 2}-2.297598{col 40}{space 2} .3115481{col 51}{space 1}   -7.37{col 60}{space 3}0.000{col 68}{space 4}-2.908221{col 81}{space 3}-1.686974
{txt}{space 11}rgdpopc_1yrcht1 {c |}{col 28}{res}{space 2}-.6154303{col 40}{space 2} .5767328{col 51}{space 1}   -1.07{col 60}{space 3}0.286{col 68}{space 4}-1.745806{col 81}{space 3} .5149452
{txt}{space 18}litpopt1 {c |}{col 28}{res}{space 2}-8.724779{col 40}{space 2}  .597685{col 51}{space 1}  -14.60{col 60}{space 3}0.000{col 68}{space 4} -9.89622{col 81}{space 3}-7.553338
{txt}{space 26} {c |}
{space 16}gwf_caseid {c |}
{space 23}11  {c |}{col 28}{res}{space 2}-12.40256{col 40}{space 2} 1.132227{col 51}{space 1}  -10.95{col 60}{space 3}0.000{col 68}{space 4}-14.62168{col 81}{space 3}-10.18344
{txt}{space 23}21  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (empty)
{space 23}23  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (empty)
{space 23}27  {c |}{col 28}{res}{space 2}-16.09309{col 40}{space 2} 1.772475{col 51}{space 1}   -9.08{col 60}{space 3}0.000{col 68}{space 4}-19.56708{col 81}{space 3}-12.61911
{txt}{space 23}31  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (empty)
{space 23}36  {c |}{col 28}{res}{space 2} 9.578943{col 40}{space 2} .8672556{col 51}{space 1}   11.05{col 60}{space 3}0.000{col 68}{space 4} 7.879153{col 81}{space 3} 11.27873
{txt}{space 23}38  {c |}{col 28}{res}{space 2} 31.79728{col 40}{space 2} 2.716851{col 51}{space 1}   11.70{col 60}{space 3}0.000{col 68}{space 4} 26.47235{col 81}{space 3} 37.12221
{txt}{space 23}51  {c |}{col 28}{res}{space 2}-15.82313{col 40}{space 2} 1.135007{col 51}{space 1}  -13.94{col 60}{space 3}0.000{col 68}{space 4} -18.0477{col 81}{space 3}-13.59856
{txt}{space 23}62  {c |}{col 28}{res}{space 2} 4.117425{col 40}{space 2} 1.258076{col 51}{space 1}    3.27{col 60}{space 3}0.001{col 68}{space 4} 1.651642{col 81}{space 3} 6.583208
{txt}{space 23}69  {c |}{col 28}{res}{space 2}  35.6968{col 40}{space 2} 2.548718{col 51}{space 1}   14.01{col 60}{space 3}0.000{col 68}{space 4}  30.7014{col 81}{space 3} 40.69219
{txt}{space 23}71  {c |}{col 28}{res}{space 2}-2.399973{col 40}{space 2} .8380985{col 51}{space 1}   -2.86{col 60}{space 3}0.004{col 68}{space 4}-4.042616{col 81}{space 3}  -.75733
{txt}{space 23}78  {c |}{col 28}{res}{space 2}-6.552881{col 40}{space 2} .6914049{col 51}{space 1}   -9.48{col 60}{space 3}0.000{col 68}{space 4} -7.90801{col 81}{space 3}-5.197752
{txt}{space 23}82  {c |}{col 28}{res}{space 2} 4.589823{col 40}{space 2} 1.337381{col 51}{space 1}    3.43{col 60}{space 3}0.001{col 68}{space 4} 1.968603{col 81}{space 3} 7.211042
{txt}{space 23}85  {c |}{col 28}{res}{space 2} 3.794335{col 40}{space 2} 1.557866{col 51}{space 1}    2.44{col 60}{space 3}0.015{col 68}{space 4} .7409744{col 81}{space 3} 6.847696
{txt}{space 23}98  {c |}{col 28}{res}{space 2}-1.223788{col 40}{space 2} 1.325587{col 51}{space 1}   -0.92{col 60}{space 3}0.356{col 68}{space 4}-3.821892{col 81}{space 3} 1.374315
{txt}{space 22}109  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (empty)
{space 22}120  {c |}{col 28}{res}{space 2}-15.12292{col 40}{space 2} 1.111624{col 51}{space 1}  -13.60{col 60}{space 3}0.000{col 68}{space 4}-17.30167{col 81}{space 3}-12.94418
{txt}{space 22}141  {c |}{col 28}{res}{space 2}-13.60145{col 40}{space 2}  1.25158{col 51}{space 1}  -10.87{col 60}{space 3}0.000{col 68}{space 4}-16.05451{col 81}{space 3} -11.1484
{txt}{space 22}147  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (empty)
{space 22}150  {c |}{col 28}{res}{space 2} 9.188093{col 40}{space 2} 1.302994{col 51}{space 1}    7.05{col 60}{space 3}0.000{col 68}{space 4} 6.634271{col 81}{space 3} 11.74192
{txt}{space 22}154  {c |}{col 28}{res}{space 2} 32.12067{col 40}{space 2} 2.239259{col 51}{space 1}   14.34{col 60}{space 3}0.000{col 68}{space 4} 27.73181{col 81}{space 3} 36.50954
{txt}{space 22}159  {c |}{col 28}{res}{space 2}  5.72453{col 40}{space 2} 1.153047{col 51}{space 1}    4.96{col 60}{space 3}0.000{col 68}{space 4} 3.464601{col 81}{space 3}  7.98446
{txt}{space 22}170  {c |}{col 28}{res}{space 2}-21.60523{col 40}{space 2} 1.684739{col 51}{space 1}  -12.82{col 60}{space 3}0.000{col 68}{space 4}-24.90726{col 81}{space 3} -18.3032
{txt}{space 22}174  {c |}{col 28}{res}{space 2} -16.1446{col 40}{space 2} 1.565128{col 51}{space 1}  -10.32{col 60}{space 3}0.000{col 68}{space 4} -19.2122{col 81}{space 3}-13.07701
{txt}{space 22}180  {c |}{col 28}{res}{space 2} 9.536025{col 40}{space 2}  1.40472{col 51}{space 1}    6.79{col 60}{space 3}0.000{col 68}{space 4} 6.782823{col 81}{space 3} 12.28923
{txt}{space 22}182  {c |}{col 28}{res}{space 2} 8.460571{col 40}{space 2} 1.737889{col 51}{space 1}    4.87{col 60}{space 3}0.000{col 68}{space 4}  5.05437{col 81}{space 3} 11.86677
{txt}{space 22}184  {c |}{col 28}{res}{space 2} -5.00969{col 40}{space 2} .6136166{col 51}{space 1}   -8.16{col 60}{space 3}0.000{col 68}{space 4}-6.212356{col 81}{space 3}-3.807023
{txt}{space 22}188  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (empty)
{space 22}196  {c |}{col 28}{res}{space 2} 10.47298{col 40}{space 2} 1.410052{col 51}{space 1}    7.43{col 60}{space 3}0.000{col 68}{space 4} 7.709327{col 81}{space 3} 13.23663
{txt}{space 22}200  {c |}{col 28}{res}{space 2}-29.63182{col 40}{space 2} 2.125981{col 51}{space 1}  -13.94{col 60}{space 3}0.000{col 68}{space 4}-33.79866{col 81}{space 3}-25.46497
{txt}{space 22}203  {c |}{col 28}{res}{space 2}-27.28857{col 40}{space 2} 1.922564{col 51}{space 1}  -14.19{col 60}{space 3}0.000{col 68}{space 4}-31.05672{col 81}{space 3}-23.52041
{txt}{space 22}205  {c |}{col 28}{res}{space 2}-6.255891{col 40}{space 2} 1.237849{col 51}{space 1}   -5.05{col 60}{space 3}0.000{col 68}{space 4} -8.68203{col 81}{space 3}-3.829752
{txt}{space 22}209  {c |}{col 28}{res}{space 2}-11.28076{col 40}{space 2} .8184245{col 51}{space 1}  -13.78{col 60}{space 3}0.000{col 68}{space 4}-12.88484{col 81}{space 3}-9.676679
{txt}{space 22}217  {c |}{col 28}{res}{space 2} 5.400577{col 40}{space 2} 1.598721{col 51}{space 1}    3.38{col 60}{space 3}0.001{col 68}{space 4} 2.267141{col 81}{space 3} 8.534013
{txt}{space 22}219  {c |}{col 28}{res}{space 2} 6.667435{col 40}{space 2} 1.364544{col 51}{space 1}    4.89{col 60}{space 3}0.000{col 68}{space 4} 3.992977{col 81}{space 3} 9.341892
{txt}{space 22}222  {c |}{col 28}{res}{space 2}-11.55968{col 40}{space 2} .8394648{col 51}{space 1}  -13.77{col 60}{space 3}0.000{col 68}{space 4}  -13.205{col 81}{space 3}-9.914355
{txt}{space 22}227  {c |}{col 28}{res}{space 2}-11.02494{col 40}{space 2} 1.112234{col 51}{space 1}   -9.91{col 60}{space 3}0.000{col 68}{space 4}-13.20488{col 81}{space 3}-8.845004
{txt}{space 22}229  {c |}{col 28}{res}{space 2} 3.567238{col 40}{space 2} 1.162946{col 51}{space 1}    3.07{col 60}{space 3}0.002{col 68}{space 4} 1.287906{col 81}{space 3}  5.84657
{txt}{space 22}232  {c |}{col 28}{res}{space 2} .4849619{col 40}{space 2} .7193758{col 51}{space 1}    0.67{col 60}{space 3}0.500{col 68}{space 4}-.9249887{col 81}{space 3} 1.894913
{txt}{space 22}238  {c |}{col 28}{res}{space 2} 23.89207{col 40}{space 2} 1.672942{col 51}{space 1}   14.28{col 60}{space 3}0.000{col 68}{space 4} 20.61317{col 81}{space 3} 27.17098
{txt}{space 22}248  {c |}{col 28}{res}{space 2} 11.15305{col 40}{space 2} .7383639{col 51}{space 1}   15.11{col 60}{space 3}0.000{col 68}{space 4} 9.705883{col 81}{space 3} 12.60022
{txt}{space 22}255  {c |}{col 28}{res}{space 2}-1.989866{col 40}{space 2} .5074239{col 51}{space 1}   -3.92{col 60}{space 3}0.000{col 68}{space 4}-2.984399{col 81}{space 3}-.9953339
{txt}{space 22}260  {c |}{col 28}{res}{space 2} 7.957572{col 40}{space 2} .7478302{col 51}{space 1}   10.64{col 60}{space 3}0.000{col 68}{space 4} 6.491852{col 81}{space 3} 9.423292
{txt}{space 22}265  {c |}{col 28}{res}{space 2} 24.90249{col 40}{space 2} 1.876111{col 51}{space 1}   13.27{col 60}{space 3}0.000{col 68}{space 4} 21.22538{col 81}{space 3}  28.5796
{txt}{space 22}270  {c |}{col 28}{res}{space 2}-14.24705{col 40}{space 2} 1.277675{col 51}{space 1}  -11.15{col 60}{space 3}0.000{col 68}{space 4}-16.75125{col 81}{space 3}-11.74285
{txt}{space 22}280  {c |}{col 28}{res}{space 2}-9.705044{col 40}{space 2} 1.387679{col 51}{space 1}   -6.99{col 60}{space 3}0.000{col 68}{space 4}-12.42484{col 81}{space 3}-6.985243
{txt}{space 22}284  {c |}{col 28}{res}{space 2}-5.057378{col 40}{space 2} 1.165296{col 51}{space 1}   -4.34{col 60}{space 3}0.000{col 68}{space 4}-7.341316{col 81}{space 3}-2.773441
{txt}{space 22}290  {c |}{col 28}{res}{space 2}  -22.926{col 40}{space 2} 1.418392{col 51}{space 1}  -16.16{col 60}{space 3}0.000{col 68}{space 4}  -25.706{col 81}{space 3}-20.14601
{txt}{space 22}300  {c |}{col 28}{res}{space 2}-8.559837{col 40}{space 2} .6892854{col 51}{space 1}  -12.42{col 60}{space 3}0.000{col 68}{space 4}-9.910811{col 81}{space 3}-7.208862
{txt}{space 22}302  {c |}{col 28}{res}{space 2}-3.364902{col 40}{space 2} .4645818{col 51}{space 1}   -7.24{col 60}{space 3}0.000{col 68}{space 4}-4.275465{col 81}{space 3}-2.454338
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{txt}{space 22}306  {c |}{col 28}{res}{space 2} 14.06034{col 40}{space 2} .7744931{col 51}{space 1}   18.15{col 60}{space 3}0.000{col 68}{space 4} 12.54237{col 81}{space 3} 15.57832
{txt}{space 22}310  {c |}{col 28}{res}{space 2}-13.12687{col 40}{space 2} .8829483{col 51}{space 1}  -14.87{col 60}{space 3}0.000{col 68}{space 4}-14.85742{col 81}{space 3}-11.39633
{txt}{space 22}312  {c |}{col 28}{res}{space 2} 13.16108{col 40}{space 2} 1.692392{col 51}{space 1}    7.78{col 60}{space 3}0.000{col 68}{space 4} 9.844054{col 81}{space 3} 16.47811
{txt}{space 22}316  {c |}{col 28}{res}{space 2} 1.772423{col 40}{space 2} 1.118457{col 51}{space 1}    1.58{col 60}{space 3}0.113{col 68}{space 4} -.419713{col 81}{space 3} 3.964558
{txt}{space 22}320  {c |}{col 28}{res}{space 2}  19.2704{col 40}{space 2} 1.259432{col 51}{space 1}   15.30{col 60}{space 3}0.000{col 68}{space 4} 16.80196{col 81}{space 3} 21.73884
{txt}{space 22}323  {c |}{col 28}{res}{space 2}-15.79758{col 40}{space 2} 1.170646{col 51}{space 1}  -13.49{col 60}{space 3}0.000{col 68}{space 4}  -18.092{col 81}{space 3}-13.50315
{txt}{space 22}334  {c |}{col 28}{res}{space 2} -2.54534{col 40}{space 2} .3379078{col 51}{space 1}   -7.53{col 60}{space 3}0.000{col 68}{space 4}-3.207627{col 81}{space 3}-1.883053
{txt}{space 22}336  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 22}341  {c |}{col 28}{res}{space 2}-10.91347{col 40}{space 2} .8320144{col 51}{space 1}  -13.12{col 60}{space 3}0.000{col 68}{space 4}-12.54419{col 81}{space 3}-9.282756
{txt}{space 22}346  {c |}{col 28}{res}{space 2} 6.864596{col 40}{space 2} 1.593117{col 51}{space 1}    4.31{col 60}{space 3}0.000{col 68}{space 4} 3.742144{col 81}{space 3} 9.987047
{txt}{space 22}348  {c |}{col 28}{res}{space 2} -10.9412{col 40}{space 2} .7539873{col 51}{space 1}  -14.51{col 60}{space 3}0.000{col 68}{space 4}-12.41899{col 81}{space 3}-9.463415
{txt}{space 22}351  {c |}{col 28}{res}{space 2} 13.35216{col 40}{space 2} 1.788045{col 51}{space 1}    7.47{col 60}{space 3}0.000{col 68}{space 4} 9.847657{col 81}{space 3} 16.85666
{txt}{space 22}354  {c |}{col 28}{res}{space 2} 27.41371{col 40}{space 2} 2.409999{col 51}{space 1}   11.37{col 60}{space 3}0.000{col 68}{space 4}  22.6902{col 81}{space 3} 32.13722
{txt}{space 22}357  {c |}{col 28}{res}{space 2} 31.59374{col 40}{space 2} 2.558263{col 51}{space 1}   12.35{col 60}{space 3}0.000{col 68}{space 4} 26.57964{col 81}{space 3} 36.60785
{txt}{space 22}362  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (empty)
{space 22}365  {c |}{col 28}{res}{space 2} 30.60025{col 40}{space 2}  2.49936{col 51}{space 1}   12.24{col 60}{space 3}0.000{col 68}{space 4} 25.70159{col 81}{space 3}  35.4989
{txt}{space 22}367  {c |}{col 28}{res}{space 2} 36.75952{col 40}{space 2} 2.696918{col 51}{space 1}   13.63{col 60}{space 3}0.000{col 68}{space 4} 31.47366{col 81}{space 3} 42.04538
{txt}{space 22}376  {c |}{col 28}{res}{space 2}-.3315999{col 40}{space 2} 1.072169{col 51}{space 1}   -0.31{col 60}{space 3}0.757{col 68}{space 4}-2.433013{col 81}{space 3} 1.769813
{txt}{space 22}380  {c |}{col 28}{res}{space 2}-8.514784{col 40}{space 2} .9333896{col 51}{space 1}   -9.12{col 60}{space 3}0.000{col 68}{space 4}-10.34419{col 81}{space 3}-6.685374
{txt}{space 22}387  {c |}{col 28}{res}{space 2} 14.73259{col 40}{space 2} 1.671146{col 51}{space 1}    8.82{col 60}{space 3}0.000{col 68}{space 4} 11.45721{col 81}{space 3} 18.00798
{txt}{space 22}390  {c |}{col 28}{res}{space 2}-.9967128{col 40}{space 2}  .875028{col 51}{space 1}   -1.14{col 60}{space 3}0.255{col 68}{space 4}-2.711736{col 81}{space 3} .7183106
{txt}{space 22}393  {c |}{col 28}{res}{space 2} 8.032047{col 40}{space 2} .6130398{col 51}{space 1}   13.10{col 60}{space 3}0.000{col 68}{space 4} 6.830511{col 81}{space 3} 9.233583
{txt}{space 22}395  {c |}{col 28}{res}{space 2} 9.378762{col 40}{space 2} .9130553{col 51}{space 1}   10.27{col 60}{space 3}0.000{col 68}{space 4} 7.589207{col 81}{space 3} 11.16832
{txt}{space 22}398  {c |}{col 28}{res}{space 2}-7.628154{col 40}{space 2} 1.183368{col 51}{space 1}   -6.45{col 60}{space 3}0.000{col 68}{space 4}-9.947512{col 81}{space 3}-5.308796
{txt}{space 22}401  {c |}{col 28}{res}{space 2} 4.310765{col 40}{space 2} .8710734{col 51}{space 1}    4.95{col 60}{space 3}0.000{col 68}{space 4} 2.603492{col 81}{space 3} 6.018037
{txt}{space 22}402  {c |}{col 28}{res}{space 2} 24.51997{col 40}{space 2} 1.680047{col 51}{space 1}   14.59{col 60}{space 3}0.000{col 68}{space 4} 21.22714{col 81}{space 3}  27.8128
{txt}{space 22}409  {c |}{col 28}{res}{space 2}-1.584614{col 40}{space 2} .5466965{col 51}{space 1}   -2.90{col 60}{space 3}0.004{col 68}{space 4}-2.656119{col 81}{space 3}-.5131088
{txt}{space 22}411  {c |}{col 28}{res}{space 2}-4.939826{col 40}{space 2} .8892693{col 51}{space 1}   -5.55{col 60}{space 3}0.000{col 68}{space 4}-6.682762{col 81}{space 3} -3.19689
{txt}{space 22}417  {c |}{col 28}{res}{space 2} 3.581399{col 40}{space 2} 1.230973{col 51}{space 1}    2.91{col 60}{space 3}0.004{col 68}{space 4} 1.168737{col 81}{space 3} 5.994062
{txt}{space 22}419  {c |}{col 28}{res}{space 2}-17.64532{col 40}{space 2} 1.213758{col 51}{space 1}  -14.54{col 60}{space 3}0.000{col 68}{space 4}-20.02424{col 81}{space 3}-15.26639
{txt}{space 22}428  {c |}{col 28}{res}{space 2} 13.72468{col 40}{space 2} .7305244{col 51}{space 1}   18.79{col 60}{space 3}0.000{col 68}{space 4} 12.29288{col 81}{space 3} 15.15648
{txt}{space 22}436  {c |}{col 28}{res}{space 2}  5.56459{col 40}{space 2} .8385795{col 51}{space 1}    6.64{col 60}{space 3}0.000{col 68}{space 4} 3.921005{col 81}{space 3} 7.208176
{txt}{space 22}439  {c |}{col 28}{res}{space 2} 3.771925{col 40}{space 2} .5038116{col 51}{space 1}    7.49{col 60}{space 3}0.000{col 68}{space 4} 2.784473{col 81}{space 3} 4.759378
{txt}{space 22}441  {c |}{col 28}{res}{space 2}  8.73807{col 40}{space 2} .5510109{col 51}{space 1}   15.86{col 60}{space 3}0.000{col 68}{space 4} 7.658109{col 81}{space 3} 9.818032
{txt}{space 22}448  {c |}{col 28}{res}{space 2} 16.68899{col 40}{space 2} 1.798946{col 51}{space 1}    9.28{col 60}{space 3}0.000{col 68}{space 4} 13.16312{col 81}{space 3} 20.21486
{txt}{space 22}464  {c |}{col 28}{res}{space 2}  9.41472{col 40}{space 2} .8311442{col 51}{space 1}   11.33{col 60}{space 3}0.000{col 68}{space 4} 7.785708{col 81}{space 3} 11.04373
{txt}{space 22}472  {c |}{col 28}{res}{space 2} 25.36596{col 40}{space 2} 2.090329{col 51}{space 1}   12.13{col 60}{space 3}0.000{col 68}{space 4} 21.26899{col 81}{space 3} 29.46293
{txt}{space 22}474  {c |}{col 28}{res}{space 2} 27.45719{col 40}{space 2} 2.080123{col 51}{space 1}   13.20{col 60}{space 3}0.000{col 68}{space 4} 23.38022{col 81}{space 3} 31.53415
{txt}{space 22}476  {c |}{col 28}{res}{space 2} 27.75504{col 40}{space 2} 2.056642{col 51}{space 1}   13.50{col 60}{space 3}0.000{col 68}{space 4} 23.72409{col 81}{space 3} 31.78598
{txt}{space 22}478  {c |}{col 28}{res}{space 2} 28.16862{col 40}{space 2} 2.170533{col 51}{space 1}   12.98{col 60}{space 3}0.000{col 68}{space 4} 23.91445{col 81}{space 3} 32.42278
{txt}{space 22}483  {c |}{col 28}{res}{space 2} .6604497{col 40}{space 2} .6806794{col 51}{space 1}    0.97{col 60}{space 3}0.332{col 68}{space 4}-.6736574{col 81}{space 3} 1.994557
{txt}{space 22}490  {c |}{col 28}{res}{space 2} 25.85633{col 40}{space 2} 2.040184{col 51}{space 1}   12.67{col 60}{space 3}0.000{col 68}{space 4} 21.85764{col 81}{space 3} 29.85501
{txt}{space 22}505  {c |}{col 28}{res}{space 2}  13.5119{col 40}{space 2} .8286478{col 51}{space 1}   16.31{col 60}{space 3}0.000{col 68}{space 4} 11.88778{col 81}{space 3} 15.13602
{txt}{space 22}508  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 22}525  {c |}{col 28}{res}{space 2}-7.251327{col 40}{space 2} .7946448{col 51}{space 1}   -9.13{col 60}{space 3}0.000{col 68}{space 4}-8.808802{col 81}{space 3}-5.693851
{txt}{space 22}527  {c |}{col 28}{res}{space 2}        0{col 40}{txt}  (omitted)
{space 26} {c |}
{space 21}_cons {c |}{col 28}{res}{space 2} 101.0128{col 40}{space 2} 5.839048{col 51}{space 1}   17.30{col 60}{space 3}0.000{col 68}{space 4} 89.56846{col 81}{space 3} 112.4571
{txt}{hline 27}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *** Figure A1 ***
. margins, dydx(prev_prestige_2) at(NUML_aut=(1(6)37))
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}   200,086
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(major_frev), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.prev_prestige_2}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{res}{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32} Delta-method
{col 20}{c |}      dy/dx{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.prev_prestige_2 {col 20}{txt}{c |}  (base outcome)
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.prev_prestige_2  {txt}{c |}
{space 15}_at {c |}
{space 16}1  {c |}{col 20}{res}{space 2} .0018643{col 32}{space 2} .0007882{col 43}{space 1}    2.37{col 52}{space 3}0.018{col 60}{space 4} .0003195{col 73}{space 3} .0034091
{txt}{space 16}2  {c |}{col 20}{res}{space 2}   .00182{col 32}{space 2} .0005533{col 43}{space 1}    3.29{col 52}{space 3}0.001{col 60}{space 4} .0007354{col 73}{space 3} .0029045
{txt}{space 16}3  {c |}{col 20}{res}{space 2} .0012672{col 32}{space 2} .0005643{col 43}{space 1}    2.25{col 52}{space 3}0.025{col 60}{space 4} .0001612{col 73}{space 3} .0023731
{txt}{space 16}4  {c |}{col 20}{res}{space 2} .0007727{col 32}{space 2}  .000438{col 43}{space 1}    1.76{col 52}{space 3}0.078{col 60}{space 4}-.0000859{col 73}{space 3} .0016312
{txt}{space 16}5  {c |}{col 20}{res}{space 2}   .00044{col 32}{space 2}  .000299{col 43}{space 1}    1.47{col 52}{space 3}0.141{col 60}{space 4} -.000146{col 73}{space 3}  .001026
{txt}{space 16}6  {c |}{col 20}{res}{space 2} .0002407{col 32}{space 2} .0001902{col 43}{space 1}    1.27{col 52}{space 3}0.206{col 60}{space 4} -.000132{col 73}{space 3} .0006134
{txt}{space 16}7  {c |}{col 20}{res}{space 2} .0001284{col 32}{space 2} .0001157{col 43}{space 1}    1.11{col 52}{space 3}0.267{col 60}{space 4}-.0000984{col 73}{space 3} .0003552
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 84}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, scheme(plotplain) yline(0)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: NUML_aut{p_end}
{res}{txt}
{com}. 
. *** Model A3.3 ***
. logit major_frev i.prev_core i.prev_prestige_2 i.prev_military##c.NUML_aut  female i.dem_const i.coldwar $pre $macro  i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 228 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 144 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res: -6617.329}  
Iteration 1:{space 3}log likelihood = {res:-6208.9093}  
Iteration 2:{space 3}log likelihood = {res:-5725.2431}  
Iteration 3:{space 3}log likelihood = {res:-5587.9141}  
Iteration 4:{space 3}log likelihood = {res:-5579.6483}  
Iteration 5:{space 3}log likelihood = {res:-5543.5853}  
Iteration 6:{space 3}log likelihood = {res:-5543.5853}  
Iteration 7:{space 3}log likelihood = {res:-5543.5853}  
Iteration 8:{space 3}log likelihood = {res:-5543.5853}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-5543.5853}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-5543.5853}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-5543.5853}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-5543.5853}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-5543.5853}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-5543.5853}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-5543.5853}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-5543.5853}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-5543.5853}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-5543.5853}  (backed up)
Iteration 19:{space 2}log likelihood = {res:-5543.5853}  (backed up)
Iteration 20:{space 2}log likelihood = {res:-5449.0733}  (backed up)
Iteration 21:{space 2}log likelihood = {res:-5388.0026}  (backed up)
Iteration 22:{space 2}log likelihood = {res:   -5360.2}  
Iteration 23:{space 2}log likelihood = {res:-5359.9109}  
Iteration 24:{space 2}log likelihood = {res:-5359.9106}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   200,086
{txt}{col 49}LR chi2({res}101{txt}){col 67}= {res}   2514.84
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5359.9106{txt}{col 49}Pseudo R2{col 67}= {res}    0.1900

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              major_frev{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}1.prev_core {c |}{col 26}{res}{space 2} 1.175642{col 38}{space 2} .1434659{col 49}{space 1}    8.19{col 58}{space 3}0.000{col 66}{space 4} .8944544{col 79}{space 3}  1.45683
{txt}{space 7}1.prev_prestige_2 {c |}{col 26}{res}{space 2} .3301257{col 38}{space 2} .0835262{col 49}{space 1}    3.95{col 58}{space 3}0.000{col 66}{space 4} .1664173{col 79}{space 3} .4938341
{txt}{space 9}1.prev_military {c |}{col 26}{res}{space 2} -.023277{col 38}{space 2} .2304541{col 49}{space 1}   -0.10{col 58}{space 3}0.920{col 66}{space 4}-.4749586{col 79}{space 3} .4284046
{txt}{space 16}NUML_aut {c |}{col 26}{res}{space 2}-.1423207{col 38}{space 2} .0140062{col 49}{space 1}  -10.16{col 58}{space 3}0.000{col 66}{space 4}-.1697723{col 79}{space 3}-.1148691
{txt}{space 24} {c |}
prev_military#c.NUML_aut {c |}
{space 22}1  {c |}{col 26}{res}{space 2}-.0543649{col 38}{space 2} .0606347{col 49}{space 1}   -0.90{col 58}{space 3}0.370{col 66}{space 4}-.1732067{col 79}{space 3}  .064477
{txt}{space 24} {c |}
{space 18}female {c |}{col 26}{res}{space 2} .5743597{col 38}{space 2} .1209642{col 49}{space 1}    4.75{col 58}{space 3}0.000{col 66}{space 4} .3372743{col 79}{space 3} .8114451
{txt}{space 13}1.dem_const {c |}{col 26}{res}{space 2}-1.163848{col 38}{space 2}  .214039{col 49}{space 1}   -5.44{col 58}{space 3}0.000{col 66}{space 4}-1.583357{col 79}{space 3}-.7443391
{txt}{space 15}1.coldwar {c |}{col 26}{res}{space 2} .5122233{col 38}{space 2} .2374108{col 49}{space 1}    2.16{col 58}{space 3}0.031{col 66}{space 4} .0469067{col 79}{space 3} .9775399
{txt}{space 7}prev_gwf_military {c |}{col 26}{res}{space 2}-17.79088{col 38}{space 2} 1.834776{col 49}{space 1}   -9.70{col 58}{space 3}0.000{col 66}{space 4}-21.38697{col 79}{space 3}-14.19478
{txt}{space 10}prev_gwf_party {c |}{col 26}{res}{space 2}-4.478037{col 38}{space 2} .6327531{col 49}{space 1}   -7.08{col 58}{space 3}0.000{col 66}{space 4}-5.718211{col 79}{space 3}-3.237864
{txt}{space 7}prev_gwf_personal {c |}{col 26}{res}{space 2} 1.723127{col 38}{space 2} .4239447{col 49}{space 1}    4.06{col 58}{space 3}0.000{col 66}{space 4} .8922106{col 79}{space 3} 2.554043
{txt}{space 14}lrgdpopct1 {c |}{col 26}{res}{space 2}-2.298161{col 38}{space 2} .3115547{col 49}{space 1}   -7.38{col 58}{space 3}0.000{col 66}{space 4}-2.908797{col 79}{space 3}-1.687525
{txt}{space 9}rgdpopc_1yrcht1 {c |}{col 26}{res}{space 2}-.6143272{col 38}{space 2} .5767114{col 49}{space 1}   -1.07{col 58}{space 3}0.287{col 66}{space 4}-1.744661{col 79}{space 3} .5160063
{txt}{space 16}litpopt1 {c |}{col 26}{res}{space 2}-8.726427{col 38}{space 2} .5977447{col 49}{space 1}  -14.60{col 58}{space 3}0.000{col 66}{space 4}-9.897985{col 79}{space 3}-7.554869
{txt}{space 24} {c |}
{space 14}gwf_caseid {c |}
{space 21}11  {c |}{col 26}{res}{space 2}-12.40582{col 38}{space 2}  1.13224{col 49}{space 1}  -10.96{col 58}{space 3}0.000{col 66}{space 4}-14.62497{col 79}{space 3}-10.18667
{txt}{space 21}21  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 21}23  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 21}27  {c |}{col 26}{res}{space 2}-16.09475{col 38}{space 2} 1.772613{col 49}{space 1}   -9.08{col 58}{space 3}0.000{col 66}{space 4}-19.56901{col 79}{space 3}-12.62049
{txt}{space 21}31  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
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{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}  100.996{col 38}{space 2} 5.839677{col 49}{space 1}   17.29{col 58}{space 3}0.000{col 66}{space 4} 89.55046{col 79}{space 3} 112.4416
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. *** Figure A2 ***
. margins, dydx(prev_military) at(NUML_aut=(1(6)37))
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}   200,086
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(major_frev), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.prev_military}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 10}7}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}19}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}31}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:NUML_aut}{space 8}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{res}{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30} Delta-method
{col 18}{c |}      dy/dx{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}{res}0.prev_military {col 18}{txt}{c |}  (base outcome)
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.prev_military  {txt}{c |}
{space 13}_at {c |}
{space 14}1  {c |}{col 18}{res}{space 2}-.0005236{col 30}{space 2} .0012657{col 41}{space 1}   -0.41{col 50}{space 3}0.679{col 58}{space 4}-.0030044{col 71}{space 3} .0019572
{txt}{space 14}2  {c |}{col 18}{res}{space 2}-.0010467{col 30}{space 2} .0006838{col 41}{space 1}   -1.53{col 50}{space 3}0.126{col 58}{space 4} -.002387{col 71}{space 3} .0002936
{txt}{space 14}3  {c |}{col 18}{res}{space 2}-.0007114{col 30}{space 2} .0004665{col 41}{space 1}   -1.53{col 50}{space 3}0.127{col 58}{space 4}-.0016256{col 71}{space 3} .0002028
{txt}{space 14}4  {c |}{col 18}{res}{space 2} -.000385{col 30}{space 2} .0002419{col 41}{space 1}   -1.59{col 50}{space 3}0.112{col 58}{space 4}-.0008592{col 71}{space 3} .0000892
{txt}{space 14}5  {c |}{col 18}{res}{space 2} -.000189{col 30}{space 2} .0001148{col 41}{space 1}   -1.65{col 50}{space 3}0.100{col 58}{space 4} -.000414{col 71}{space 3}  .000036
{txt}{space 14}6  {c |}{col 18}{res}{space 2}-.0000881{col 30}{space 2} .0000534{col 41}{space 1}   -1.65{col 50}{space 3}0.099{col 58}{space 4}-.0001928{col 71}{space 3} .0000166
{txt}{space 14}7  {c |}{col 18}{res}{space 2}-.0000398{col 30}{space 2}  .000025{col 41}{space 1}   -1.59{col 50}{space 3}0.111{col 58}{space 4}-.0000888{col 71}{space 3} 9.15e-06
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 82}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, scheme(plotplain) yline(0)
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: NUML_aut{p_end}
{res}{txt}
{com}. 
. 
. *** Table A4 ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. *** Model A4.1 ***
. logit major_frev $ind age_new i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 144 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 3478 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 2356 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 170.gwf_caseid != 0 predicts success perfectly
      170.gwf_caseid dropped and 5 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 2530 obs not used

note: 200.gwf_caseid != 0 predicts failure perfectly
      200.gwf_caseid dropped and 10 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 112 obs not used

note: 417.gwf_caseid != 0 predicts failure perfectly
      417.gwf_caseid dropped and 1 obs not used

note: 508.gwf_caseid != 0 predicts failure perfectly
      508.gwf_caseid dropped and 1188 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4094.4637}  
Iteration 1:{space 3}log likelihood = {res:-3672.6841}  
Iteration 2:{space 3}log likelihood = {res:-3332.1282}  
Iteration 3:{space 3}log likelihood = {res:-3291.9407}  
Iteration 4:{space 3}log likelihood = {res:-3216.2862}  
Iteration 5:{space 3}log likelihood = {res:-3216.2862}  (backed up)
Iteration 6:{space 3}log likelihood = {res:-3216.2862}  (backed up)
Iteration 7:{space 3}log likelihood = {res:-3211.1327}  (backed up)
Iteration 8:{space 3}log likelihood = {res:-3211.0856}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-3211.0741}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-3211.0684}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-3211.0655}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-3209.8428}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-3116.5819}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-3109.2289}  
Iteration 15:{space 2}log likelihood = {res:-3105.7314}  
Iteration 16:{space 2}log likelihood = {res: -3105.105}  
Iteration 17:{space 2}log likelihood = {res:-3105.1043}  
Iteration 18:{space 2}log likelihood = {res:-3105.1043}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    99,008
{txt}{col 49}LR chi2({res}88{txt}){col 67}= {res}   1978.72
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3105.1043{txt}{col 49}Pseudo R2{col 67}= {res}    0.2416

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
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{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{txt}{space 11}428  {c |}{col 17}{res}{space 2} 1.092696{col 29}{space 2} .3961836{col 40}{space 1}    2.76{col 49}{space 3}0.006{col 57}{space 4} .3161907{col 70}{space 3} 1.869202
{txt}{space 11}436  {c |}{col 17}{res}{space 2}-1.030223{col 29}{space 2}  .533892{col 40}{space 1}   -1.93{col 49}{space 3}0.054{col 57}{space 4}-2.076633{col 70}{space 3} .0161856
{txt}{space 11}439  {c |}{col 17}{res}{space 2}  .669409{col 29}{space 2} .4599988{col 40}{space 1}    1.46{col 49}{space 3}0.146{col 57}{space 4} -.232172{col 70}{space 3}  1.57099
{txt}{space 11}441  {c |}{col 17}{res}{space 2} 2.819096{col 29}{space 2} .3802302{col 40}{space 1}    7.41{col 49}{space 3}0.000{col 57}{space 4} 2.073859{col 70}{space 3} 3.564334
{txt}{space 11}448  {c |}{col 17}{res}{space 2} .5171452{col 29}{space 2} .5021276{col 40}{space 1}    1.03{col 49}{space 3}0.303{col 57}{space 4}-.4670069{col 70}{space 3} 1.501297
{txt}{space 11}464  {c |}{col 17}{res}{space 2} .6374491{col 29}{space 2} .4404286{col 40}{space 1}    1.45{col 49}{space 3}0.148{col 57}{space 4}-.2257751{col 70}{space 3} 1.500673
{txt}{space 11}472  {c |}{col 17}{res}{space 2} 2.376709{col 29}{space 2} .7040977{col 40}{space 1}    3.38{col 49}{space 3}0.001{col 57}{space 4} .9967029{col 70}{space 3} 3.756715
{txt}{space 11}474  {c |}{col 17}{res}{space 2} 1.647083{col 29}{space 2} .4137349{col 40}{space 1}    3.98{col 49}{space 3}0.000{col 57}{space 4} .8361774{col 70}{space 3} 2.457989
{txt}{space 11}476  {c |}{col 17}{res}{space 2} .1617239{col 29}{space 2} .4619659{col 40}{space 1}    0.35{col 49}{space 3}0.726{col 57}{space 4}-.7437126{col 70}{space 3}  1.06716
{txt}{space 11}478  {c |}{col 17}{res}{space 2}-.0461697{col 29}{space 2} .7907144{col 40}{space 1}   -0.06{col 49}{space 3}0.953{col 57}{space 4}-1.595942{col 70}{space 3} 1.503602
{txt}{space 11}483  {c |}{col 17}{res}{space 2} .2419428{col 29}{space 2} .4800558{col 40}{space 1}    0.50{col 49}{space 3}0.614{col 57}{space 4}-.6989494{col 70}{space 3} 1.182835
{txt}{space 11}490  {c |}{col 17}{res}{space 2}-.6487754{col 29}{space 2} .6733767{col 40}{space 1}   -0.96{col 49}{space 3}0.335{col 57}{space 4}-1.968569{col 70}{space 3} .6710187
{txt}{space 11}505  {c |}{col 17}{res}{space 2}-.4263738{col 29}{space 2} .4993358{col 40}{space 1}   -0.85{col 49}{space 3}0.393{col 57}{space 4}-1.405054{col 70}{space 3} .5523063
{txt}{space 11}508  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}525  {c |}{col 17}{res}{space 2}-.2203264{col 29}{space 2} .6762952{col 40}{space 1}   -0.33{col 49}{space 3}0.745{col 57}{space 4}-1.545841{col 70}{space 3} 1.105188
{txt}{space 11}527  {c |}{col 17}{res}{space 2}-.1005083{col 29}{space 2}  .511946{col 40}{space 1}   -0.20{col 49}{space 3}0.844{col 57}{space 4}-1.103904{col 70}{space 3} .9028875
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} 1.130568{col 29}{space 2} .4317427{col 40}{space 1}    2.62{col 49}{space 3}0.009{col 57}{space 4} .2843677{col 70}{space 3} 1.976768
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}6,213{col 51}{txt}missing .:  {res}0{txt}/{res}99,008

{txt}{col 19}mean:{res}{col 26} 27756.1
{txt}{col 15}std. dev:{res}{col 26} 15958.4

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6160{col 37}   14100{col 47}   27074{col 57} 41711.5{col 67}   50241

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}63{col 51}{txt}missing .:  {res}0{txt}/{res}99,008

{txt}{col 19}mean:{res}{col 26} 480.238
{txt}{col 15}std. dev:{res}{col 26} 240.977

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     135{col 37}     290{col 47}     452{col 57}     732{col 67}     800

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}84{col 51}{txt}missing .:  {res}0{txt}/{res}99,008

{txt}{col 19}mean:{res}{col 26} 302.957
{txt}{col 15}std. dev:{res}{col 26} 133.747

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     232{col 47}     320{col 57}     401{col 67}     464
{txt}
{com}. 
. *** Model A4.2 ***
. logit major_frev $ind age_new $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 132 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 3478 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 9 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 870 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 2356 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 170.gwf_caseid != 0 predicts success perfectly
      170.gwf_caseid dropped and 5 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 2530 obs not used

note: 200.gwf_caseid != 0 predicts failure perfectly
      200.gwf_caseid dropped and 10 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 104 obs not used

note: 417.gwf_caseid != 0 predicts failure perfectly
      417.gwf_caseid dropped and 1 obs not used

note: 508.gwf_caseid != 0 predicts failure perfectly
      508.gwf_caseid dropped and 1188 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3773.4562}  
Iteration 1:{space 3}log likelihood = {res:-3346.1604}  
Iteration 2:{space 3}log likelihood = {res:-2944.7402}  
Iteration 3:{space 3}log likelihood = {res:-2790.6172}  
Iteration 4:{space 3}log likelihood = {res:-2778.4346}  
Iteration 5:{space 3}log likelihood = {res:-2724.1834}  
Iteration 6:{space 3}log likelihood = {res:-2724.1827}  
Iteration 7:{space 3}log likelihood = {res:-2724.1827}  (backed up)
Iteration 8:{space 3}log likelihood = {res:-2724.1827}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-2711.5598}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-2711.5565}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-2711.5548}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-2711.5544}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-2711.5544}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-2640.4921}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-2627.7277}  
Iteration 16:{space 2}log likelihood = {res:-2626.1705}  
Iteration 17:{space 2}log likelihood = {res:-2626.1684}  
Iteration 18:{space 2}log likelihood = {res:-2626.1684}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    95,847
{txt}{col 49}LR chi2({res}88{txt}){col 67}= {res}   2294.58
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2626.1684{txt}{col 49}Pseudo R2{col 67}= {res}    0.3040

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2}  1.03293{col 29}{space 2} .1979237{col 40}{space 1}    5.22{col 49}{space 3}0.000{col 57}{space 4} .6450069{col 70}{space 3} 1.420853
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.0888521{col 29}{space 2} .0158642{col 40}{space 1}   -5.60{col 49}{space 3}0.000{col 57}{space 4}-.1199453{col 70}{space 3}-.0577588
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .2270751{col 29}{space 2}  .111207{col 40}{space 1}    2.04{col 49}{space 3}0.041{col 57}{space 4} .0091133{col 70}{space 3} .4450368
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2} .0051353{col 29}{space 2} .2148407{col 40}{space 1}    0.02{col 49}{space 3}0.981{col 57}{space 4}-.4159447{col 70}{space 3} .4262153
{txt}{space 8}age_new {c |}{col 17}{res}{space 2}-.0411667{col 29}{space 2} .0053222{col 40}{space 1}   -7.73{col 49}{space 3}0.000{col 57}{space 4}-.0515979{col 70}{space 3}-.0307354
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2}-.0638451{col 29}{space 2} .0183657{col 40}{space 1}   -3.48{col 49}{space 3}0.001{col 57}{space 4}-.0998413{col 70}{space 3}-.0278489
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.1499061{col 29}{space 2} .0118879{col 40}{space 1}  -12.61{col 49}{space 3}0.000{col 57}{space 4}-.1732059{col 70}{space 3}-.1266062
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}11  {c |}{col 17}{res}{space 2} .5262003{col 29}{space 2} .7385599{col 40}{space 1}    0.71{col 49}{space 3}0.476{col 57}{space 4}-.9213504{col 70}{space 3} 1.973751
{txt}{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} 1.387524{col 29}{space 2} .6806636{col 40}{space 1}    2.04{col 49}{space 3}0.042{col 57}{space 4} .0534476{col 70}{space 3}   2.7216
{txt}{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}36  {c |}{col 17}{res}{space 2} .8185357{col 29}{space 2} .6655299{col 40}{space 1}    1.23{col 49}{space 3}0.219{col 57}{space 4}-.4858789{col 70}{space 3}  2.12295
{txt}{space 12}38  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}51  {c |}{col 17}{res}{space 2} 2.519591{col 29}{space 2}  .659598{col 40}{space 1}    3.82{col 49}{space 3}0.000{col 57}{space 4} 1.226803{col 70}{space 3} 3.812379
{txt}{space 12}62  {c |}{col 17}{res}{space 2} .4869362{col 29}{space 2} 1.166184{col 40}{space 1}    0.42{col 49}{space 3}0.676{col 57}{space 4}-1.798742{col 70}{space 3} 2.772614
{txt}{space 12}69  {c |}{col 17}{res}{space 2} 1.700539{col 29}{space 2} .6264379{col 40}{space 1}    2.71{col 49}{space 3}0.007{col 57}{space 4} .4727429{col 70}{space 3} 2.928334
{txt}{space 12}71  {c |}{col 17}{res}{space 2} 1.386908{col 29}{space 2} .9304678{col 40}{space 1}    1.49{col 49}{space 3}0.136{col 57}{space 4} -.436775{col 70}{space 3} 3.210592
{txt}{space 12}78  {c |}{col 17}{res}{space 2} 1.249118{col 29}{space 2} .8256016{col 40}{space 1}    1.51{col 49}{space 3}0.130{col 57}{space 4}-.3690309{col 70}{space 3} 2.867268
{txt}{space 12}82  {c |}{col 17}{res}{space 2} 1.598763{col 29}{space 2} .7563114{col 40}{space 1}    2.11{col 49}{space 3}0.035{col 57}{space 4} .1164202{col 70}{space 3} 3.081107
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{txt}{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}120  {c |}{col 17}{res}{space 2} 5.727677{col 29}{space 2} 1.035704{col 40}{space 1}    5.53{col 49}{space 3}0.000{col 57}{space 4} 3.697734{col 70}{space 3} 7.757619
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{txt}{space 11}147  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}170  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}188  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}200  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}227  {c |}{col 17}{res}{space 2} 3.476383{col 29}{space 2} .8405852{col 40}{space 1}    4.14{col 49}{space 3}0.000{col 57}{space 4} 1.828866{col 70}{space 3}   5.1239
{txt}{space 11}229  {c |}{col 17}{res}{space 2} 1.064714{col 29}{space 2} .6756387{col 40}{space 1}    1.58{col 49}{space 3}0.115{col 57}{space 4}-.2595138{col 70}{space 3} 2.388941
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{txt}{space 11}354  {c |}{col 17}{res}{space 2} -1.39277{col 29}{space 2} 1.160101{col 40}{space 1}   -1.20{col 49}{space 3}0.230{col 57}{space 4}-3.666525{col 70}{space 3}  .880986
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{txt}{space 11}362  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}387  {c |}{col 17}{res}{space 2} .7258801{col 29}{space 2} .8253232{col 40}{space 1}    0.88{col 49}{space 3}0.379{col 57}{space 4}-.8917236{col 70}{space 3} 2.343484
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{txt}{space 11}395  {c |}{col 17}{res}{space 2}-.8446515{col 29}{space 2} .8211467{col 40}{space 1}   -1.03{col 49}{space 3}0.304{col 57}{space 4}-2.454069{col 70}{space 3} .7647665
{txt}{space 11}398  {c |}{col 17}{res}{space 2} 1.028243{col 29}{space 2} .7163783{col 40}{space 1}    1.44{col 49}{space 3}0.151{col 57}{space 4}-.3758328{col 70}{space 3} 2.432319
{txt}{space 11}401  {c |}{col 17}{res}{space 2} -.916912{col 29}{space 2} 1.159333{col 40}{space 1}   -0.79{col 49}{space 3}0.429{col 57}{space 4}-3.189163{col 70}{space 3} 1.355339
{txt}{space 11}402  {c |}{col 17}{res}{space 2} -.916685{col 29}{space 2} 1.159927{col 40}{space 1}   -0.79{col 49}{space 3}0.429{col 57}{space 4}-3.190101{col 70}{space 3} 1.356731
{txt}{space 11}409  {c |}{col 17}{res}{space 2} 2.079373{col 29}{space 2} .6223562{col 40}{space 1}    3.34{col 49}{space 3}0.001{col 57}{space 4} .8595768{col 70}{space 3} 3.299168
{txt}{space 11}411  {c |}{col 17}{res}{space 2}-.0284967{col 29}{space 2} .9203164{col 40}{space 1}   -0.03{col 49}{space 3}0.975{col 57}{space 4}-1.832284{col 70}{space 3}  1.77529
{txt}{space 11}417  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}419  {c |}{col 17}{res}{space 2} 4.038345{col 29}{space 2} 1.234532{col 40}{space 1}    3.27{col 49}{space 3}0.001{col 57}{space 4} 1.618707{col 70}{space 3} 6.457983
{txt}{space 11}428  {c |}{col 17}{res}{space 2} 2.224811{col 29}{space 2} .6169859{col 40}{space 1}    3.61{col 49}{space 3}0.000{col 57}{space 4} 1.015541{col 70}{space 3} 3.434081
{txt}{space 11}436  {c |}{col 17}{res}{space 2} .3477896{col 29}{space 2} .7138708{col 40}{space 1}    0.49{col 49}{space 3}0.626{col 57}{space 4}-1.051371{col 70}{space 3} 1.746951
{txt}{space 11}439  {c |}{col 17}{res}{space 2} 1.217923{col 29}{space 2} .6985859{col 40}{space 1}    1.74{col 49}{space 3}0.081{col 57}{space 4}-.1512797{col 70}{space 3} 2.587127
{txt}{space 11}441  {c |}{col 17}{res}{space 2} 3.015363{col 29}{space 2} .6062608{col 40}{space 1}    4.97{col 49}{space 3}0.000{col 57}{space 4} 1.827113{col 70}{space 3} 4.203612
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{txt}{space 11}464  {c |}{col 17}{res}{space 2} 1.455707{col 29}{space 2} .6457953{col 40}{space 1}    2.25{col 49}{space 3}0.024{col 57}{space 4} .1899711{col 70}{space 3} 2.721442
{txt}{space 11}472  {c |}{col 17}{res}{space 2} 1.686359{col 29}{space 2} 1.177745{col 40}{space 1}    1.43{col 49}{space 3}0.152{col 57}{space 4}-.6219787{col 70}{space 3} 3.994697
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{txt}{space 11}476  {c |}{col 17}{res}{space 2} 1.348856{col 29}{space 2} .6607859{col 40}{space 1}    2.04{col 49}{space 3}0.041{col 57}{space 4}  .053739{col 70}{space 3} 2.643972
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{txt}{space 11}508  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}525  {c |}{col 17}{res}{space 2}  .072788{col 29}{space 2} 1.163517{col 40}{space 1}    0.06{col 49}{space 3}0.950{col 57}{space 4}-2.207664{col 70}{space 3}  2.35324
{txt}{space 11}527  {c |}{col 17}{res}{space 2} .9575423{col 29}{space 2} .6965175{col 40}{space 1}    1.37{col 49}{space 3}0.169{col 57}{space 4}-.4076069{col 70}{space 3} 2.322692
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-2.175496{col 29}{space 2} .6637066{col 40}{space 1}   -3.28{col 49}{space 3}0.001{col 57}{space 4}-3.476337{col 70}{space 3}-.8746555
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}6,019{col 51}{txt}missing .:  {res}0{txt}/{res}95,847

{txt}{col 19}mean:{res}{col 26} 27785.7
{txt}{col 15}std. dev:{res}{col 26} 15910.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6239{col 37}   14213{col 47}   27074{col 57}   41709{col 67}   50242

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}62{col 51}{txt}missing .:  {res}0{txt}/{res}95,847

{txt}{col 19}mean:{res}{col 26}  473.65
{txt}{col 15}std. dev:{res}{col 26} 241.267

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     135{col 37}     290{col 47}     452{col 57}     732{col 67}     800

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}82{col 51}{txt}missing .:  {res}0{txt}/{res}95,847

{txt}{col 19}mean:{res}{col 26} 305.795
{txt}{col 15}std. dev:{res}{col 26}  132.98

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     232{col 47}     334{col 57}     401{col 67}     464
{txt}
{com}. 
. *** Model A4.3 ***
. logit major_frev $ind age_new female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 132 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 3478 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 9 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 870 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 2356 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 170.gwf_caseid != 0 predicts success perfectly
      170.gwf_caseid dropped and 5 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 2530 obs not used

note: 200.gwf_caseid != 0 predicts failure perfectly
      200.gwf_caseid dropped and 10 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 104 obs not used

note: 417.gwf_caseid != 0 predicts failure perfectly
      417.gwf_caseid dropped and 1 obs not used

note: 508.gwf_caseid != 0 predicts failure perfectly
      508.gwf_caseid dropped and 1188 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 490.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res: -3772.013}  
Iteration 1:{space 3}log likelihood = {res:-3307.7829}  
Iteration 2:{space 3}log likelihood = {res:-2921.9261}  
Iteration 3:{space 3}log likelihood = {res:-2784.1778}  
Iteration 4:{space 3}log likelihood = {res:-2767.1651}  
Iteration 5:{space 3}log likelihood = {res:-2711.9487}  
Iteration 6:{space 3}log likelihood = {res:-2711.9448}  
Iteration 7:{space 3}log likelihood = {res:-2711.9436}  
Iteration 8:{space 3}log likelihood = {res:-2711.9436}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-2708.2423}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-2707.8677}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-2707.7124}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-2707.6945}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-2706.8502}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-2705.4526}  
Iteration 15:{space 2}log likelihood = {res:-2703.7452}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-2703.6679}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-2703.6321}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-2703.6148}  (backed up)
Iteration 19:{space 2}log likelihood = {res:-2703.6063}  (backed up)
Iteration 20:{space 2}log likelihood = {res:-2624.6819}  (backed up)
Iteration 21:{space 2}log likelihood = {res:-2617.0875}  (backed up)
Iteration 22:{space 2}log likelihood = {res:-2615.1954}  
Iteration 23:{space 2}log likelihood = {res:-2613.8833}  
Iteration 24:{space 2}log likelihood = {res:-2613.8787}  
Iteration 25:{space 2}log likelihood = {res:-2613.8787}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    95,627
{txt}{col 49}LR chi2({res}94{txt}){col 67}= {res}   2316.27
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2613.8787{txt}{col 49}Pseudo R2{col 67}= {res}    0.3070

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 1.014913{col 31}{space 2}  .198279{col 42}{space 1}    5.12{col 51}{space 3}0.000{col 59}{space 4} .6262933{col 72}{space 3} 1.403533
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.0899271{col 31}{space 2} .0158847{col 42}{space 1}   -5.66{col 51}{space 3}0.000{col 59}{space 4}-.1210605{col 72}{space 3}-.0587937
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2197013{col 31}{space 2} .1117205{col 42}{space 1}    1.97{col 51}{space 3}0.049{col 59}{space 4} .0007332{col 72}{space 3} .4386693
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.0113871{col 31}{space 2}  .215406{col 42}{space 1}   -0.05{col 51}{space 3}0.958{col 59}{space 4}-.4335751{col 72}{space 3} .4108008
{txt}{space 10}age_new {c |}{col 19}{res}{space 2}-.0408775{col 31}{space 2} .0053182{col 42}{space 1}   -7.69{col 51}{space 3}0.000{col 59}{space 4}-.0513009{col 72}{space 3} -.030454
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.1346898{col 31}{space 2} .1723749{col 42}{space 1}   -0.78{col 51}{space 3}0.435{col 59}{space 4}-.4725384{col 72}{space 3} .2031589
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2}-.8771675{col 31}{space 2} .2406062{col 42}{space 1}   -3.65{col 51}{space 3}0.000{col 59}{space 4}-1.348747{col 72}{space 3}-.4055881
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2} .1301745{col 31}{space 2} .2657454{col 42}{space 1}    0.49{col 51}{space 3}0.624{col 59}{space 4}-.3906769{col 72}{space 3} .6510259
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-4.932161{col 31}{space 2} 1.521755{col 42}{space 1}   -3.24{col 51}{space 3}0.001{col 59}{space 4}-7.914746{col 72}{space 3}-1.949575
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-.9491921{col 31}{space 2} .8926467{col 42}{space 1}   -1.06{col 51}{space 3}0.288{col 59}{space 4}-2.698747{col 72}{space 3} .8003632
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}-3.049326{col 31}{space 2} .7720306{col 42}{space 1}   -3.95{col 51}{space 3}0.000{col 59}{space 4}-4.562479{col 72}{space 3}-1.536174
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2} .9009556{col 31}{space 2} .5843208{col 42}{space 1}    1.54{col 51}{space 3}0.123{col 59}{space 4}-.2442923{col 72}{space 3} 2.046203
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-2.412408{col 31}{space 2} .9335043{col 42}{space 1}   -2.58{col 51}{space 3}0.010{col 59}{space 4}-4.242043{col 72}{space 3}-.5827735
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} 1.769517{col 31}{space 2}  1.33427{col 42}{space 1}    1.33{col 51}{space 3}0.185{col 59}{space 4}-.8456041{col 72}{space 3} 4.384638
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2}-.0965956{col 31}{space 2} .0382935{col 42}{space 1}   -2.52{col 51}{space 3}0.012{col 59}{space 4}-.1716496{col 72}{space 3}-.0215416
{txt}{space 4}yr_since_exit {c |}{col 19}{res}{space 2}-.1502812{col 31}{space 2} .0118748{col 42}{space 1}  -12.66{col 51}{space 3}0.000{col 59}{space 4}-.1735554{col 72}{space 3} -.127007
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2} 2.184468{col 31}{space 2} 2.133111{col 42}{space 1}    1.02{col 51}{space 3}0.306{col 59}{space 4}-1.996353{col 72}{space 3}  6.36529
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2} 4.297122{col 31}{space 2} 3.265225{col 42}{space 1}    1.32{col 51}{space 3}0.188{col 59}{space 4}-2.102602{col 72}{space 3} 10.69685
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} -.848946{col 31}{space 2}  1.61374{col 42}{space 1}   -0.53{col 51}{space 3}0.599{col 59}{space 4}-4.011819{col 72}{space 3} 2.313927
{txt}{space 14}38  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}51  {c |}{col 19}{res}{space 2} 6.237934{col 31}{space 2}  2.63953{col 42}{space 1}    2.36{col 51}{space 3}0.018{col 59}{space 4}  1.06455{col 72}{space 3} 11.41132
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 5.265452{col 31}{space 2}   3.2803{col 42}{space 1}    1.61{col 51}{space 3}0.108{col 59}{space 4}-1.163819{col 72}{space 3} 11.69472
{txt}{space 14}69  {c |}{col 19}{res}{space 2} .6018757{col 31}{space 2} 1.518798{col 42}{space 1}    0.40{col 51}{space 3}0.692{col 59}{space 4}-2.374914{col 72}{space 3} 3.578665
{txt}{space 14}71  {c |}{col 19}{res}{space 2} 1.115713{col 31}{space 2} 1.236975{col 42}{space 1}    0.90{col 51}{space 3}0.367{col 59}{space 4}-1.308715{col 72}{space 3}  3.54014
{txt}{space 14}78  {c |}{col 19}{res}{space 2} 2.648312{col 31}{space 2} 1.208438{col 42}{space 1}    2.19{col 51}{space 3}0.028{col 59}{space 4} .2798162{col 72}{space 3} 5.016807
{txt}{space 14}82  {c |}{col 19}{res}{space 2} 6.992214{col 31}{space 2} 3.299654{col 42}{space 1}    2.12{col 51}{space 3}0.034{col 59}{space 4}  .525012{col 72}{space 3} 13.45942
{txt}{space 14}85  {c |}{col 19}{res}{space 2} 5.606455{col 31}{space 2} 3.266893{col 42}{space 1}    1.72{col 51}{space 3}0.086{col 59}{space 4}-.7965382{col 72}{space 3} 12.00945
{txt}{space 14}98  {c |}{col 19}{res}{space 2} 11.44881{col 31}{space 2} 4.291683{col 42}{space 1}    2.67{col 51}{space 3}0.008{col 59}{space 4} 3.037264{col 72}{space 3} 19.86035
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2}  8.26823{col 31}{space 2} 2.615849{col 42}{space 1}    3.16{col 51}{space 3}0.002{col 59}{space 4}  3.14126{col 72}{space 3}  13.3952
{txt}{space 13}141  {c |}{col 19}{res}{space 2} 3.536675{col 31}{space 2} 2.484732{col 42}{space 1}    1.42{col 51}{space 3}0.155{col 59}{space 4} -1.33331{col 72}{space 3} 8.406661
{txt}{space 13}147  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2} 4.645765{col 31}{space 2} 2.567135{col 42}{space 1}    1.81{col 51}{space 3}0.070{col 59}{space 4}-.3857279{col 72}{space 3} 9.677258
{txt}{space 13}154  {c |}{col 19}{res}{space 2}-.2010912{col 31}{space 2} 1.310074{col 42}{space 1}   -0.15{col 51}{space 3}0.878{col 59}{space 4}-2.768789{col 72}{space 3} 2.366607
{txt}{space 13}170  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}417  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-24.39214{col 31}{space 2} 15.05768{col 42}{space 1}   -1.62{col 51}{space 3}0.105{col 59}{space 4}-53.90466{col 72}{space 3} 5.120374
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 failure and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}6,015{col 51}{txt}missing .:  {res}0{txt}/{res}95,627

{txt}{col 19}mean:{res}{col 26} 27786.1
{txt}{col 15}std. dev:{res}{col 26} 15908.8

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6237{col 37}   14213{col 47}   27074{col 57}   41709{col 67}   50241

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}62{col 51}{txt}missing .:  {res}0{txt}/{res}95,627

{txt}{col 19}mean:{res}{col 26}  473.31
{txt}{col 15}std. dev:{res}{col 26} 241.353

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     135{col 37}     290{col 47}     452{col 57}     732{col 67}     800

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}82{col 51}{txt}missing .:  {res}0{txt}/{res}95,627

{txt}{col 19}mean:{res}{col 26} 305.516
{txt}{col 15}std. dev:{res}{col 26} 132.957

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     232{col 47}     334{col 57}     401{col 67}     464
{txt}
{com}. 
. 
. *** Table A5 ***
. 
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. *** Model 1 ***
. logit major_frev $ind age_cab_new i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

note: 417.gwf_caseid != 0 predicts failure perfectly
      417.gwf_caseid dropped and 38 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3554.2553}  
Iteration 1:{space 3}log likelihood = {res:-3284.4125}  
Iteration 2:{space 3}log likelihood = {res: -3276.118}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-3183.6258}  
Iteration 4:{space 3}log likelihood = {res:-3048.7574}  (backed up)
Iteration 5:{space 3}log likelihood = {res: -3016.968}  
Iteration 6:{space 3}log likelihood = {res:-3007.4866}  
Iteration 7:{space 3}log likelihood = {res:-3007.3274}  
Iteration 8:{space 3}log likelihood = {res:-3007.3262}  
Iteration 9:{space 3}log likelihood = {res:-3007.3262}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    14,301
{txt}{col 49}LR chi2({res}92{txt}){col 67}= {res}   1093.86
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3007.3262{txt}{col 49}Pseudo R2{col 67}= {res}    0.1539

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.220724{col 29}{space 2} .1521964{col 40}{space 1}    8.02{col 49}{space 3}0.000{col 57}{space 4} .9224244{col 70}{space 3} 1.519023
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.1111609{col 29}{space 2} .0138784{col 40}{space 1}   -8.01{col 49}{space 3}0.000{col 57}{space 4} -.138362{col 70}{space 3}-.0839599
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2}  .310488{col 29}{space 2} .0942265{col 40}{space 1}    3.30{col 49}{space 3}0.001{col 57}{space 4} .1258074{col 70}{space 3} .4951686
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}  -.24742{col 29}{space 2} .1837246{col 40}{space 1}   -1.35{col 49}{space 3}0.178{col 57}{space 4}-.6075135{col 70}{space 3} .1126736
{txt}{space 4}age_cab_new {c |}{col 17}{res}{space 2} .0777294{col 29}{space 2} .0087591{col 40}{space 1}    8.87{col 49}{space 3}0.000{col 57}{space 4}  .060562{col 70}{space 3} .0948969
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}11  {c |}{col 17}{res}{space 2} 1.080509{col 29}{space 2} .5337737{col 40}{space 1}    2.02{col 49}{space 3}0.043{col 57}{space 4} .0343316{col 70}{space 3} 2.126686
{txt}{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} .9771241{col 29}{space 2}  .472344{col 40}{space 1}    2.07{col 49}{space 3}0.039{col 57}{space 4} .0513469{col 70}{space 3} 1.902901
{txt}{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}36  {c |}{col 17}{res}{space 2} .7131813{col 29}{space 2} .4486584{col 40}{space 1}    1.59{col 49}{space 3}0.112{col 57}{space 4} -.166173{col 70}{space 3} 1.592535
{txt}{space 12}38  {c |}{col 17}{res}{space 2}-.8360577{col 29}{space 2} .6671506{col 40}{space 1}   -1.25{col 49}{space 3}0.210{col 57}{space 4}-2.143649{col 70}{space 3} .4715335
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-8.459694{col 29}{space 2} .5755567{col 40}{space 1}  -14.70{col 49}{space 3}0.000{col 57}{space 4}-9.587765{col 70}{space 3}-7.331624
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}11,508{col 51}{txt}missing .:  {res}0{txt}/{res}14,301

{txt}{col 19}mean:{res}{col 26} 27494.7
{txt}{col 15}std. dev:{res}{col 26}   16234

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4951{col 37}   13268{col 47}   27490{col 57}   41634{col 67}   49935

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}66{col 51}{txt}missing .:  {res}0{txt}/{res}14,301

{txt}{col 19}mean:{res}{col 26} 499.829
{txt}{col 15}std. dev:{res}{col 26} 218.526

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     140{col 37}     372{col 47}     475{col 57}     700{col 67}     790

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}88{col 51}{txt}missing .:  {res}0{txt}/{res}14,301

{txt}{col 19}mean:{res}{col 26} 279.122
{txt}{col 15}std. dev:{res}{col 26} 140.398

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     184{col 47}     300{col 57}     395{col 67}     474
{txt}
{com}. 
. *** Model 2 ***
. logit major_frev $ind age_cab_new female i.dem_const i.coldwar $pre $macro i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

note: 417.gwf_caseid != 0 predicts failure perfectly
      417.gwf_caseid dropped and 38 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3552.4216}  
Iteration 1:{space 3}log likelihood = {res:-2487.1883}  
Iteration 2:{space 3}log likelihood = {res:-2474.2825}  (backed up)
Iteration 3:{space 3}log likelihood = {res: -2209.896}  
Iteration 4:{space 3}log likelihood = {res:-2024.6554}  
Iteration 5:{space 3}log likelihood = {res:-1993.8256}  
Iteration 6:{space 3}log likelihood = {res:-1930.3319}  
Iteration 7:{space 3}log likelihood = {res: -1918.911}  
Iteration 8:{space 3}log likelihood = {res:-1918.7753}  
Iteration 9:{space 3}log likelihood = {res: -1918.775}  
Iteration 10:{space 2}log likelihood = {res: -1918.775}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    14,275
{txt}{col 49}LR chi2({res}98{txt}){col 67}= {res}   3267.29
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -1918.775{txt}{col 49}Pseudo R2{col 67}= {res}    0.4599

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 2.140208{col 31}{space 2} .2305035{col 42}{space 1}    9.28{col 51}{space 3}0.000{col 59}{space 4}  1.68843{col 72}{space 3} 2.591987
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.0857912{col 31}{space 2} .0165068{col 42}{space 1}   -5.20{col 51}{space 3}0.000{col 59}{space 4} -.118144{col 72}{space 3}-.0534384
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2}  .290394{col 31}{space 2} .1221482{col 42}{space 1}    2.38{col 51}{space 3}0.017{col 59}{space 4} .0509879{col 72}{space 3} .5298001
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.2112163{col 31}{space 2} .2395229{col 42}{space 1}   -0.88{col 51}{space 3}0.378{col 59}{space 4}-.6806725{col 72}{space 3} .2582399
{txt}{space 6}age_cab_new {c |}{col 19}{res}{space 2} .0793619{col 31}{space 2} .0117322{col 42}{space 1}    6.76{col 51}{space 3}0.000{col 59}{space 4} .0563672{col 72}{space 3} .1023566
{txt}{space 11}female {c |}{col 19}{res}{space 2} .3091059{col 31}{space 2}   .17838{col 42}{space 1}    1.73{col 51}{space 3}0.083{col 59}{space 4}-.0405125{col 72}{space 3} .6587244
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2}-1.880205{col 31}{space 2} .4963718{col 42}{space 1}   -3.79{col 51}{space 3}0.000{col 59}{space 4}-2.853076{col 72}{space 3}-.9073336
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2} -1.08115{col 31}{space 2} .6882471{col 42}{space 1}   -1.57{col 51}{space 3}0.116{col 59}{space 4}-2.430089{col 72}{space 3} .2677899
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-57.13966{col 31}{space 2} 5.378442{col 42}{space 1}  -10.62{col 51}{space 3}0.000{col 59}{space 4}-67.68121{col 72}{space 3}-46.59811
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-15.32053{col 31}{space 2} 1.604326{col 42}{space 1}   -9.55{col 51}{space 3}0.000{col 59}{space 4}-18.46495{col 72}{space 3}-12.17611
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2} 5.064391{col 31}{space 2} .8916444{col 42}{space 1}    5.68{col 51}{space 3}0.000{col 59}{space 4}   3.3168{col 72}{space 3} 6.811982
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}-11.84564{col 31}{space 2} 1.026275{col 42}{space 1}  -11.54{col 51}{space 3}0.000{col 59}{space 4} -13.8571{col 72}{space 3}-9.834174
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-5.750849{col 31}{space 2} 4.219279{col 42}{space 1}   -1.36{col 51}{space 3}0.173{col 59}{space 4}-14.02048{col 72}{space 3} 2.518785
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2}-34.56746{col 31}{space 2} 2.034191{col 42}{space 1}  -16.99{col 51}{space 3}0.000{col 59}{space 4} -38.5544{col 72}{space 3}-30.58051
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
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{txt}{space 13}464  {c |}{col 19}{res}{space 2} 40.67493{col 31}{space 2} 2.302388{col 42}{space 1}   17.67{col 51}{space 3}0.000{col 59}{space 4} 36.16233{col 72}{space 3} 45.18753
{txt}{space 13}472  {c |}{col 19}{res}{space 2}  75.8669{col 31}{space 2} 6.199818{col 42}{space 1}   12.24{col 51}{space 3}0.000{col 59}{space 4} 63.71548{col 72}{space 3} 88.01832
{txt}{space 13}474  {c |}{col 19}{res}{space 2} 92.30866{col 31}{space 2} 6.412318{col 42}{space 1}   14.40{col 51}{space 3}0.000{col 59}{space 4} 79.74074{col 72}{space 3} 104.8766
{txt}{space 13}476  {c |}{col 19}{res}{space 2}  99.8603{col 31}{space 2} 6.327497{col 42}{space 1}   15.78{col 51}{space 3}0.000{col 59}{space 4} 87.45864{col 72}{space 3}  112.262
{txt}{space 13}478  {c |}{col 19}{res}{space 2} 105.4408{col 31}{space 2} 6.358579{col 42}{space 1}   16.58{col 51}{space 3}0.000{col 59}{space 4} 92.97825{col 72}{space 3} 117.9034
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{txt}{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}525  {c |}{col 19}{res}{space 2}-34.38917{col 31}{space 2} 1.682174{col 42}{space 1}  -20.44{col 51}{space 3}0.000{col 59}{space 4}-37.68617{col 72}{space 3}-31.09217
{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 436.8963{col 31}{space 2} 19.92934{col 42}{space 1}   21.92{col 51}{space 3}0.000{col 59}{space 4} 397.8356{col 72}{space 3} 475.9571
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}11,489{col 51}{txt}missing .:  {res}0{txt}/{res}14,275

{txt}{col 19}mean:{res}{col 26} 27493.7
{txt}{col 15}std. dev:{res}{col 26} 16239.9

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4938{col 37}   13268{col 47}   27453{col 57}   41639{col 67}   49944

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}66{col 51}{txt}missing .:  {res}0{txt}/{res}14,275

{txt}{col 19}mean:{res}{col 26} 499.704
{txt}{col 15}std. dev:{res}{col 26} 218.642

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     140{col 37}     372{col 47}     475{col 57}     700{col 67}     790

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}88{col 51}{txt}missing .:  {res}0{txt}/{res}14,275

{txt}{col 19}mean:{res}{col 26}  278.89
{txt}{col 15}std. dev:{res}{col 26} 140.335

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     184{col 47}     300{col 57}     395{col 67}     474
{txt}
{com}. 
. *** TSCS Models ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. *** Model 3 ***
. logit major_frev $ind age_cab_new i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 228 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 144 obs not used

note: 417.gwf_caseid != 0 predicts failure perfectly
      417.gwf_caseid dropped and 38 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6014.0901}  
Iteration 1:{space 3}log likelihood = {res: -5771.346}  
Iteration 2:{space 3}log likelihood = {res:-5700.9164}  (backed up)
Iteration 3:{space 3}log likelihood = {res: -5489.279}  
Iteration 4:{space 3}log likelihood = {res:-5485.0257}  
Iteration 5:{space 3}log likelihood = {res:-5447.5971}  
Iteration 6:{space 3}log likelihood = {res:-5447.5952}  (backed up)
Iteration 7:{space 3}log likelihood = {res:-5447.5942}  (backed up)
Iteration 8:{space 3}log likelihood = {res:-5447.5942}  (backed up)
Iteration 9:{space 3}log likelihood = {res:  -5292.32}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-5279.2773}  
Iteration 11:{space 2}log likelihood = {res:-5263.8796}  
Iteration 12:{space 2}log likelihood = {res:-5263.8002}  
Iteration 13:{space 2}log likelihood = {res:-5263.8002}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   173,541
{txt}{col 49}LR chi2({res}92{txt}){col 67}= {res}   1500.58
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5263.8002{txt}{col 49}Pseudo R2{col 67}= {res}    0.1248

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.152614{col 29}{space 2}  .147203{col 40}{space 1}    7.83{col 49}{space 3}0.000{col 57}{space 4} .8641013{col 70}{space 3} 1.441126
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.1214527{col 29}{space 2} .0137559{col 40}{space 1}   -8.83{col 49}{space 3}0.000{col 57}{space 4}-.1484138{col 70}{space 3}-.0944915
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .2839932{col 29}{space 2} .0877182{col 40}{space 1}    3.24{col 49}{space 3}0.001{col 57}{space 4} .1120687{col 70}{space 3} .4559178
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.2091596{col 29}{space 2} .1726861{col 40}{space 1}   -1.21{col 49}{space 3}0.226{col 57}{space 4}-.5476182{col 70}{space 3} .1292989
{txt}{space 4}age_cab_new {c |}{col 17}{res}{space 2} .0700929{col 29}{space 2} .0081289{col 40}{space 1}    8.62{col 49}{space 3}0.000{col 57}{space 4} .0541606{col 70}{space 3} .0860252
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}11  {c |}{col 17}{res}{space 2}-.6778254{col 29}{space 2} .5182191{col 40}{space 1}   -1.31{col 49}{space 3}0.191{col 57}{space 4}-1.693516{col 70}{space 3} .3378655
{txt}{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} 1.858932{col 29}{space 2} .4657734{col 40}{space 1}    3.99{col 49}{space 3}0.000{col 57}{space 4} .9460332{col 70}{space 3} 2.771831
{txt}{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}36  {c |}{col 17}{res}{space 2} -.466218{col 29}{space 2}   .43855{col 40}{space 1}   -1.06{col 49}{space 3}0.288{col 57}{space 4} -1.32576{col 70}{space 3} .3933241
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{txt}{space 12}71  {c |}{col 17}{res}{space 2} -1.11532{col 29}{space 2} .4961152{col 40}{space 1}   -2.25{col 49}{space 3}0.025{col 57}{space 4}-2.087688{col 70}{space 3} -.142952
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{space 11}120  {c |}{col 17}{res}{space 2} 1.823218{col 29}{space 2} .4262806{col 40}{space 1}    4.28{col 49}{space 3}0.000{col 57}{space 4} .9877229{col 70}{space 3} 2.658712
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-9.580135{col 29}{space 2} .5446628{col 40}{space 1}  -17.59{col 49}{space 3}0.000{col 57}{space 4}-10.64765{col 70}{space 3}-8.512616
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}11,508{col 51}{txt}missing .:  {res}0{txt}/{res}173,541

{txt}{col 19}mean:{res}{col 26} 27504.8
{txt}{col 15}std. dev:{res}{col 26} 15773.6

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6237{col 37}   14200{col 47}   26813{col 57}   41401{col 67}   49908

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}66{col 51}{txt}missing .:  {res}0{txt}/{res}173,541

{txt}{col 19}mean:{res}{col 26} 450.805
{txt}{col 15}std. dev:{res}{col 26} 234.522

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     290{col 47}     438{col 57}     660{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}88{col 51}{txt}missing .:  {res}0{txt}/{res}173,541

{txt}{col 19}mean:{res}{col 26} 283.573
{txt}{col 15}std. dev:{res}{col 26} 137.482

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      62{col 37}     196{col 47}     300{col 57}     395{col 67}     464
{txt}
{com}. 
. *** Model 4 ***
. logit major_frev $ind age_cab_new $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

note: 417.gwf_caseid != 0 predicts failure perfectly
      417.gwf_caseid dropped and 38 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5608.6649}  
Iteration 1:{space 3}log likelihood = {res:-5101.1349}  
Iteration 2:{space 3}log likelihood = {res:-4765.6113}  
Iteration 3:{space 3}log likelihood = {res:-4219.9127}  
Iteration 4:{space 3}log likelihood = {res:-4206.5467}  
Iteration 5:{space 3}log likelihood = {res:-4204.0421}  
Iteration 6:{space 3}log likelihood = {res:-4203.2395}  
Iteration 7:{space 3}log likelihood = {res:-4141.8692}  (backed up)
Iteration 8:{space 3}log likelihood = {res:-4102.7026}  
Iteration 9:{space 3}log likelihood = {res:-4102.7009}  
Iteration 10:{space 2}log likelihood = {res:   -4102.7}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4102.6996}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4102.6995}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4102.6995}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4102.6995}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4102.6995}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4102.6995}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4102.6995}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4014.4404}  (backed up)
Iteration 19:{space 2}log likelihood = {res:-3954.4251}  (backed up)
Iteration 20:{space 2}log likelihood = {res:-3953.1568}  
Iteration 21:{space 2}log likelihood = {res:-3953.1362}  
Iteration 22:{space 2}log likelihood = {res:-3953.1362}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   168,875
{txt}{col 49}LR chi2({res}92{txt}){col 67}= {res}   3311.06
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3953.1362{txt}{col 49}Pseudo R2{col 67}= {res}    0.2952

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2}  1.25677{col 29}{space 2} .1618008{col 40}{space 1}    7.77{col 49}{space 3}0.000{col 57}{space 4}  .939646{col 70}{space 3} 1.573893
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.1030192{col 29}{space 2} .0137626{col 40}{space 1}   -7.49{col 49}{space 3}0.000{col 57}{space 4}-.1299933{col 70}{space 3}-.0760451
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .2285447{col 29}{space 2} .0937541{col 40}{space 1}    2.44{col 49}{space 3}0.015{col 57}{space 4} .0447899{col 70}{space 3} .4122994
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.1968441{col 29}{space 2} .1880295{col 40}{space 1}   -1.05{col 49}{space 3}0.295{col 57}{space 4}-.5653752{col 70}{space 3}  .171687
{txt}{space 4}age_cab_new {c |}{col 17}{res}{space 2}-.0904443{col 29}{space 2} .0127042{col 40}{space 1}   -7.12{col 49}{space 3}0.000{col 57}{space 4}-.1153442{col 70}{space 3}-.0655445
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2}-.1084006{col 29}{space 2} .0162593{col 40}{space 1}   -6.67{col 49}{space 3}0.000{col 57}{space 4}-.1402683{col 70}{space 3}-.0765329
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.1903092{col 29}{space 2}  .008827{col 40}{space 1}  -21.56{col 49}{space 3}0.000{col 57}{space 4}-.2076097{col 70}{space 3}-.1730087
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}362  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}417  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}  .531412{col 29}{space 2}  .870121{col 40}{space 1}    0.61{col 49}{space 3}0.541{col 57}{space 4}-1.173994{col 70}{space 3} 2.236818
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 13 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}11,207{col 51}{txt}missing .:  {res}0{txt}/{res}168,875

{txt}{col 19}mean:{res}{col 26} 27518.6
{txt}{col 15}std. dev:{res}{col 26} 15737.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6292{col 37}   14226{col 47}   26777{col 57}   41400{col 67}   49919

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}65{col 51}{txt}missing .:  {res}0{txt}/{res}168,875

{txt}{col 19}mean:{res}{col 26} 444.626
{txt}{col 15}std. dev:{res}{col 26} 234.042

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     290{col 47}     438{col 57}     640{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}86{col 51}{txt}missing .:  {res}0{txt}/{res}168,875

{txt}{col 19}mean:{res}{col 26} 285.555
{txt}{col 15}std. dev:{res}{col 26} 137.309

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     203{col 47}     304{col 57}     395{col 67}     464
{txt}
{com}. 
. *** Model 5 ***
. logit major_frev $ind age_cab_new female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

note: 417.gwf_caseid != 0 predicts failure perfectly
      417.gwf_caseid dropped and 38 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5606.2356}  
Iteration 1:{space 3}log likelihood = {res:-5065.9123}  
Iteration 2:{space 3}log likelihood = {res:-4738.8103}  
Iteration 3:{space 3}log likelihood = {res:-4208.1759}  
Iteration 4:{space 3}log likelihood = {res:-4193.9493}  
Iteration 5:{space 3}log likelihood = {res:-4191.1104}  
Iteration 6:{space 3}log likelihood = {res: -4190.166}  
Iteration 7:{space 3}log likelihood = {res:-4128.7134}  (backed up)
Iteration 8:{space 3}log likelihood = {res:-4089.0087}  
Iteration 9:{space 3}log likelihood = {res:-4088.9949}  
Iteration 10:{space 2}log likelihood = {res:-4088.9921}  
Iteration 11:{space 2}log likelihood = {res:-4088.9908}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4088.9905}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4088.9903}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4088.9902}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4088.9902}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4088.9902}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4088.9902}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4088.9902}  (backed up)
Iteration 19:{space 2}log likelihood = {res:-3962.7173}  (backed up)
Iteration 20:{space 2}log likelihood = {res:-3939.5026}  
Iteration 21:{space 2}log likelihood = {res:-3939.3663}  
Iteration 22:{space 2}log likelihood = {res:-3939.3663}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   168,421
{txt}{col 49}LR chi2({res}98{txt}){col 67}= {res}   3333.74
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3939.3663{txt}{col 49}Pseudo R2{col 67}= {res}    0.2973

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 1.250897{col 31}{space 2} .1618706{col 42}{space 1}    7.73{col 51}{space 3}0.000{col 59}{space 4}  .933636{col 72}{space 3} 1.568157
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.1029049{col 31}{space 2} .0137579{col 42}{space 1}   -7.48{col 51}{space 3}0.000{col 59}{space 4}-.1298699{col 72}{space 3}-.0759399
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2346616{col 31}{space 2} .0941776{col 42}{space 1}    2.49{col 51}{space 3}0.013{col 59}{space 4} .0500768{col 72}{space 3} .4192464
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.1973381{col 31}{space 2} .1883107{col 42}{space 1}   -1.05{col 51}{space 3}0.295{col 59}{space 4}-.5664202{col 72}{space 3}  .171744
{txt}{space 6}age_cab_new {c |}{col 19}{res}{space 2}-.0919982{col 31}{space 2} .0127217{col 42}{space 1}   -7.23{col 51}{space 3}0.000{col 59}{space 4}-.1169323{col 72}{space 3} -.067064
{txt}{space 11}female {c |}{col 19}{res}{space 2} .1210416{col 31}{space 2} .1351329{col 42}{space 1}    0.90{col 51}{space 3}0.370{col 59}{space 4} -.143814{col 72}{space 3} .3858972
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2} -.713088{col 31}{space 2} .2177233{col 42}{space 1}   -3.28{col 51}{space 3}0.001{col 59}{space 4}-1.139818{col 72}{space 3}-.2863582
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2} .0444294{col 31}{space 2} .2336601{col 42}{space 1}    0.19{col 51}{space 3}0.849{col 59}{space 4}-.4135359{col 72}{space 3} .5023948
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-4.190339{col 31}{space 2} 2.636838{col 42}{space 1}   -1.59{col 51}{space 3}0.112{col 59}{space 4}-9.358445{col 72}{space 3} .9777681
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-2.147489{col 31}{space 2} .7895099{col 42}{space 1}   -2.72{col 51}{space 3}0.007{col 59}{space 4}  -3.6949{col 72}{space 3}-.6000781
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2} -2.61555{col 31}{space 2} .6643781{col 42}{space 1}   -3.94{col 51}{space 3}0.000{col 59}{space 4}-3.917707{col 72}{space 3}-1.313393
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2} 1.275836{col 31}{space 2}  .473752{col 42}{space 1}    2.69{col 51}{space 3}0.007{col 59}{space 4} .3472991{col 72}{space 3} 2.204373
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-2.437698{col 31}{space 2} .6990031{col 42}{space 1}   -3.49{col 51}{space 3}0.000{col 59}{space 4}-3.807719{col 72}{space 3}-1.067677
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} .3959085{col 31}{space 2}  1.12892{col 42}{space 1}    0.35{col 51}{space 3}0.726{col 59}{space 4}-1.816735{col 72}{space 3} 2.608552
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2}-.1317088{col 31}{space 2} .0321778{col 42}{space 1}   -4.09{col 51}{space 3}0.000{col 59}{space 4}-.1947762{col 72}{space 3}-.0686414
{txt}{space 4}yr_since_exit {c |}{col 19}{res}{space 2}-.1901221{col 31}{space 2} .0088344{col 42}{space 1}  -21.52{col 51}{space 3}0.000{col 59}{space 4}-.2074371{col 72}{space 3}-.1728071
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2}-.4003815{col 31}{space 2} 1.824631{col 42}{space 1}   -0.22{col 51}{space 3}0.826{col 59}{space 4}-3.976593{col 72}{space 3}  3.17583
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2}-.4038161{col 31}{space 2} 2.776895{col 42}{space 1}   -0.15{col 51}{space 3}0.884{col 59}{space 4} -5.84643{col 72}{space 3} 5.038797
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} .5440911{col 31}{space 2} 1.382466{col 42}{space 1}    0.39{col 51}{space 3}0.694{col 59}{space 4}-2.165492{col 72}{space 3} 3.253674
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{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-10.56397{col 31}{space 2} 12.67704{col 42}{space 1}   -0.83{col 51}{space 3}0.405{col 59}{space 4}-35.41051{col 72}{space 3} 14.28256
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 13 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}11,188{col 51}{txt}missing .:  {res}0{txt}/{res}168,421

{txt}{col 19}mean:{res}{col 26} 27517.9
{txt}{col 15}std. dev:{res}{col 26} 15738.5

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6284{col 37}   14244{col 47}   26777{col 57}   41401{col 67}   49915

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}65{col 51}{txt}missing .:  {res}0{txt}/{res}168,421

{txt}{col 19}mean:{res}{col 26} 444.163
{txt}{col 15}std. dev:{res}{col 26} 234.099

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     290{col 47}     437{col 57}     640{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}86{col 51}{txt}missing .:  {res}0{txt}/{res}168,421

{txt}{col 19}mean:{res}{col 26} 285.179
{txt}{col 15}std. dev:{res}{col 26} 137.228

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     200{col 47}     304{col 57}     395{col 67}     464
{txt}
{com}. 
. *** Table A6 ***
. *** Run R script named "Table A6.R" ***
. 
. 
. *** Table A7 ***
. 
. *** The replication of the matching results require access to the Paths to Power data (see Nyrup et al. 2024 - https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4631225). The data is not publicly available yet, ///
> *** but the authors are willing to share it with interested parties. Please get in touch with Jacob Nyrup (jacob.nyrup@stv.uio.no) ///
> *** to gain access to the data ***
. 
. *** Load Paths to Power data ***
. import delimited "C:\Users\Administrator\Dropbox\Papers\ARD Elites\Data\Paths_to_Power\P2P.csv", bindquote(strict) encoding(windows-1250) clear
{res}{text}(71 vars, 199,271 obs)

{com}. keep year country_isocode country_name name degreetype politicalfamily highereducation class_grouped occupation_grouped_6categories military politician degree
{txt}
{com}. 
. *** Recoding Paths to Power data ***
. 
. ***Capture political experience
. gen pol_exp=1 if politician=="0" | politician=="1"
{txt}(159,556 missing values generated)

{com}. replace pol_exp=2 if politician=="2"
{txt}(32,914 real changes made)

{com}. replace pol_exp=3 if politician=="3"
{txt}(81,278 real changes made)

{com}. 
. ***Capture class of politician
. gen class=1 if class_grouped=="Lower"
{txt}(182,632 missing values generated)

{com}. replace class=2 if class_grouped=="Middle"
{txt}(38,457 real changes made)

{com}. replace class=3 if class_grouped=="Upper"
{txt}(23,311 real changes made)

{com}. 
. 
. ***Capture occupation
. tab occupation

{txt}occupation_grouped_6catego {c |}
                      ries {c |}      Freq.     Percent        Cum.
{hline 27}{c +}{hline 35}
           1. White collar {c |}{res}     91,061       45.70       45.70
{txt}            2. Blue collar {c |}{res}      2,748        1.38       47.08
{txt}              3. Education {c |}{res}     25,470       12.78       59.86
{txt}4. Media & Popular Culture {c |}{res}      4,515        2.27       62.12
{txt}      5. Military & Police {c |}{res}     14,863        7.46       69.58
{txt}       6. None or politics {c |}{res}     15,778        7.92       77.50
{txt}       WHY AM I NOT CODED? {c |}{res}     44,836       22.50      100.00
{txt}{hline 27}{c +}{hline 35}
                     Total {c |}{res}    199,271      100.00
{txt}
{com}. gen occupation=1 if occupation_grouped_6categories=="1. White collar"
{txt}(108,210 missing values generated)

{com}. replace occupation=2 if occupation_grouped_6categories=="2. Blue collar"
{txt}(2,748 real changes made)

{com}. replace occupation=3 if occupation_grouped_6categories=="3. Education"
{txt}(25,470 real changes made)

{com}. replace occupation=4 if occupation_grouped_6categories=="4. Media & Popular Culture"
{txt}(4,515 real changes made)

{com}. replace occupation=5 if occupation_grouped_6categories=="5. Military & Police"
{txt}(14,863 real changes made)

{com}. replace occupation=6 if occupation_grouped_6categories=="6. None or politics"
{txt}(15,778 real changes made)

{com}. 
. ***Capture political family
. tab politicalfamily

{txt}politicalfa {c |}
       mily {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         22        0.01        0.01
{txt}         NA {c |}{res}     79,029       39.66       39.67
{txt}         NO {c |}{res}        226        0.11       39.78
{txt}         No {c |}{res}    101,446       50.91       90.69
{txt}        YES {c |}{res}          1        0.00       90.69
{txt}        Yes {c |}{res}     18,545        9.31      100.00
{txt}         na {c |}{res}          2        0.00      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}    199,271      100.00
{txt}
{com}. gen pol_fam=1 if politicalfamily=="Yes" | politicalfamily=="YES"
{txt}(180,725 missing values generated)

{com}. replace pol_fam=0 if politicalfamily=="No" | politicalfamily=="NO"
{txt}(101,672 real changes made)

{com}. 
. **Capture higher education
. tab degree

     {txt}degree {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}         22        0.01        0.01
{txt}          1 {c |}{res}        267        0.13        0.15
{txt}         10 {c |}{res}     32,316       16.22       16.36
{txt}        109 {c |}{res}          2        0.00       16.36
{txt}          2 {c |}{res}      1,111        0.56       16.92
{txt}          3 {c |}{res}      4,719        2.37       19.29
{txt}          4 {c |}{res}      2,234        1.12       20.41
{txt}          5 {c |}{res}      9,110        4.57       24.98
{txt}          6 {c |}{res}      4,270        2.14       27.12
{txt}          7 {c |}{res}     32,416       16.27       43.39
{txt}          8 {c |}{res}     35,739       17.93       61.33
{txt}          9 {c |}{res}     30,955       15.53       76.86
{txt}         NA {c |}{res}     46,110       23.14      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}    199,271      100.00
{txt}
{com}. **Primary education
. gen education=1 if degree=="0" | degree=="1" | degree=="2"
{txt}(197,871 missing values generated)

{com}. **Secondary education and post-secondary (not university)
. replace education=2 if degree=="3" | degree=="4" | degree=="5" | degree=="6"
{txt}(20,333 real changes made)

{com}. **Higher education
. replace education=3 if degree=="7" | degree=="8" | degree=="9" | degree=="10"
{txt}(131,426 real changes made)

{com}. 
. tab highereducation

{txt}highereduca {c |}
       tion {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
          0 {c |}{res}     21,711       10.90       10.90
{txt}          1 {c |}{res}    131,426       65.95       76.85
{txt}         NA {c |}{res}     46,134       23.15      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}    199,271      100.00
{txt}
{com}. replace highereducation="" if highereducation=="NA"
{txt}(46,134 real changes made)

{com}. destring highereducation, replace
{txt}highereducation: all characters numeric; {res}replaced {txt}as {res}byte
{txt}(46134 missing values generated)
{res}{txt}
{com}. 
. *** Keep neccesary variables ***
. keep year country_isocode country_name name pol_exp class occupation pol_fam highereducation education
{txt}
{com}. 
. 
. *** Label variables ***
. label variable pol_exp "Political experience"
{txt}
{com}. label variable class "Class background (Low, Middle, High)"
{txt}
{com}. label variable occupation "Occupation"
{txt}
{com}. label variable pol_fam "Political family"
{txt}
{com}. label variable highereducation "Higher education"
{txt}
{com}. label variable education "Education level (primary, secondary, higher)"
{txt}
{com}. 
. foreach var of varlist pol_exp class occupation pol_fam highereducation education {c -(}
{txt}  2{com}.         rename `var' prev_`var'
{txt}  3{com}. {c )-}
{res}{txt}
{com}. 
. *** Get COW country codes ***
. kountry country_isocode, from(iso3c) to(cown)

{txt}{hline 44}
You are converting from {com}iso3c{txt} to {com}cown{txt}....
{hline 44}

{hline 38}
The command has finished.
The new variable is named {com}_COWN_{txt}.
{hline 38}

{com}. rename _COWN_ ccode
{res}{txt}
{com}. tab country_name if ccode==.

                           {txt}country_name {c |}      Freq.     Percent        Cum.
{hline 40}{c +}{hline 35}
             German Democratic Republic {c |}{res}        243        5.37        5.37
{txt}       German Democratic Republic - Nde {c |}{res}        185        4.09        9.47
{txt}German Democratic Republic <U+0080><U.. {c |}{res}         55        1.22       10.68
{txt} German Democratic Republic<U+FFFD> Nde {c |}{res}        137        3.03       13.71
{txt}Germany, East (German Democratic Repu.. {c |}{res}        584       12.92       26.63
{txt}                            South Sudan {c |}{res}        332        7.34       33.97
{txt}                           Soviet Union {c |}{res}        259        5.73       39.70
{txt}Soviet Union (Union Of Soviet Sociali.. {c |}{res}      1,358       30.04       69.74
{txt}    Union Of Soviet Socialist Republics {c |}{res}      1,368       30.26      100.00
{txt}{hline 40}{c +}{hline 35}
                                  Total {c |}{res}      4,521      100.00
{txt}
{com}. tab country_isocode if ccode==.

{txt}country_iso {c |}
       code {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
        DDR {c |}{res}      1,204       26.63       26.63
{txt}        SSD {c |}{res}        332        7.34       33.97
{txt}        SUN {c |}{res}      2,985       66.03      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      4,521      100.00
{txt}
{com}. replace ccode=265 if country_isocode=="DDR"
{txt}(1,204 real changes made)

{com}. replace ccode=626 if country_isocode=="SSD"
{txt}(332 real changes made)

{com}. replace ccode=365 if country_isocode=="SUN"
{txt}(2,985 real changes made)

{com}. 
. collapse (max) prev_highereducation prev_pol_exp prev_class prev_occupation prev_pol_fam prev_education, by(name ccode)
{txt}
{com}. 
. save "P2P.dta", replace
{txt}file P2P.dta saved

{com}. 
. *** Match P2P into CS dataset ***
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. merge m:1 name ccode using "P2P.dta", keep(master match)
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}           3,668
{txt}{col 9}from master{col 30}{res}           3,668{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}          13,733{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
. *** Set globals ***
. global macro lrgdpopct1 rgdpopc_1yrcht1 litpopt1
{txt}
{com}. global p2p prev_education prev_pol_exp prev_class prev_occupation prev_pol_fam
{txt}
{com}. global time yr_t yr_since_exit
{txt}
{com}. global ind prev_core NUML_aut prev_prestige_2 prev_military 
{txt}
{com}. 
. *** Table A7 ***
. 
. *** Drop any missing observations ***
. keep major_frev $ind $macro $pre female dem_const coldwar gwf_caseid $p2p ccode newid
{txt}
{com}. foreach v of var $p2p $ind $macro $pre female dem_const coldwar  {c -(} 
{txt}  2{com}.         drop if missing(`v') 
{txt}  3{com}. {c )-}
{txt}(8,854 observations deleted)
(958 observations deleted)
(4,515 observations deleted)
(63 observations deleted)
(48 observations deleted)
(0 observations deleted)
(164 observations deleted)
(0 observations deleted)
(0 observations deleted)
(0 observations deleted)
(0 observations deleted)
(0 observations deleted)
(0 observations deleted)
(0 observations deleted)
(0 observations deleted)
(2 observations deleted)
(0 observations deleted)
(0 observations deleted)

{com}. 
. *** Model 1 ***
. 
. *** Core position ***
. cem prev_education(#2) prev_pol_exp(#2) prev_class(#2) prev_occupation(#5) prev_pol_fam(#1), treatment(prev_core) 
{res}
{txt}Matching Summary:
-----------------
Number of strata: {res}4
{txt}Number of matched strata: {res}4

           {txt}   0     1
      All  {res} 258  2539
{txt}  Matched  {res} 258  2539
{txt}Unmatched  {res}   0     0


{txt}Multivariate L1 distance: {res}.34468848

{txt}Univariate imbalance:

                      L1     mean      min      25%      50%      75%      max
 prev_education  {res} .04445   .04093        0        0        0        0        0
{txt}   prev_pol_exp  {res} .06185  -.11735        0        0       -1        0        0
{txt}     prev_class  {res} .10444  -.10682        0        0        0        0        0
{txt}prev_occupation  {res} .03296   .03296        0        0        0        0        0
{txt}   prev_pol_fam  {res} .03355  -.03355        0        0        0       -1        0
{txt}
{com}. 
. logit major_frev prev_core prev_education prev_pol_exp prev_class prev_occupation prev_pol_fam i.gwf_caseid [iweight=cem_weights]

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 6 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 10 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 8 obs not used

note: 82.gwf_caseid != 0 predicts failure perfectly
      82.gwf_caseid dropped and 12 obs not used

note: 85.gwf_caseid != 0 predicts failure perfectly
      85.gwf_caseid dropped and 12 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 6 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 2 obs not used

note: 150.gwf_caseid != 0 predicts failure perfectly
      150.gwf_caseid dropped and 10 obs not used

note: 154.gwf_caseid != 0 predicts failure perfectly
      154.gwf_caseid dropped and 33 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 22 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 11 obs not used

note: 310.gwf_caseid != 0 predicts failure perfectly
      310.gwf_caseid dropped and 2 obs not used

note: 312.gwf_caseid != 0 predicts failure perfectly
      312.gwf_caseid dropped and 3 obs not used

note: 346.gwf_caseid != 0 predicts failure perfectly
      346.gwf_caseid dropped and 6 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 14 obs not used

note: 387.gwf_caseid != 0 predicts failure perfectly
      387.gwf_caseid dropped and 4 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 126 obs not used

note: 525.gwf_caseid != 0 predicts failure perfectly
      525.gwf_caseid dropped and 35 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-957.15834}  
Iteration 1:{space 3}log likelihood = {res:-865.41115}  
Iteration 2:{space 3}log likelihood = {res:-843.23172}  
Iteration 3:{space 3}log likelihood = {res:-838.03171}  
Iteration 4:{space 3}log likelihood = {res:-837.91501}  
Iteration 5:{space 3}log likelihood = {res:-837.91462}  
Iteration 6:{space 3}log likelihood = {res:-837.91462}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,475
{txt}{col 49}LR chi2({res}65{txt}){col 67}= {res}    238.49
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-837.91462{txt}{col 49}Pseudo R2{col 67}= {res}    0.1246

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2}  .689705{col 29}{space 2} .3013449{col 40}{space 1}    2.29{col 49}{space 3}0.022{col 57}{space 4} .0990799{col 70}{space 3}  1.28033
{txt}{space 1}prev_education {c |}{col 17}{res}{space 2} .7504078{col 29}{space 2} .2057783{col 40}{space 1}    3.65{col 49}{space 3}0.000{col 57}{space 4} .3470897{col 70}{space 3} 1.153726
{txt}{space 3}prev_pol_exp {c |}{col 17}{res}{space 2} .3630944{col 29}{space 2} .0859907{col 40}{space 1}    4.22{col 49}{space 3}0.000{col 57}{space 4} .1945556{col 70}{space 3} .5316331
{txt}{space 5}prev_class {c |}{col 17}{res}{space 2}-.1062298{col 29}{space 2} .1226068{col 40}{space 1}   -0.87{col 49}{space 3}0.386{col 57}{space 4}-.3465347{col 70}{space 3}  .134075
{txt}prev_occupation {c |}{col 17}{res}{space 2} .0289187{col 29}{space 2} .0358532{col 40}{space 1}    0.81{col 49}{space 3}0.420{col 57}{space 4}-.0413523{col 70}{space 3} .0991897
{txt}{space 3}prev_pol_fam {c |}{col 17}{res}{space 2} .4042649{col 29}{space 2} .1720574{col 40}{space 1}    2.35{col 49}{space 3}0.019{col 57}{space 4} .0670386{col 70}{space 3} .7414912
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}36  {c |}{col 17}{res}{space 2} 1.117481{col 29}{space 2} .6590517{col 40}{space 1}    1.70{col 49}{space 3}0.090{col 57}{space 4}-.1742365{col 70}{space 3} 2.409199
{txt}{space 12}38  {c |}{col 17}{res}{space 2} .1004278{col 29}{space 2}  .800895{col 40}{space 1}    0.13{col 49}{space 3}0.900{col 57}{space 4}-1.469298{col 70}{space 3} 1.670153
{txt}{space 12}51  {c |}{col 17}{res}{space 2} 1.947363{col 29}{space 2} 1.264847{col 40}{space 1}    1.54{col 49}{space 3}0.124{col 57}{space 4}-.5316911{col 70}{space 3} 4.426417
{txt}{space 12}62  {c |}{col 17}{res}{space 2} .5425723{col 29}{space 2} 1.211704{col 40}{space 1}    0.45{col 49}{space 3}0.654{col 57}{space 4}-1.832323{col 70}{space 3} 2.917468
{txt}{space 12}69  {c |}{col 17}{res}{space 2} .7926346{col 29}{space 2} .5800125{col 40}{space 1}    1.37{col 49}{space 3}0.172{col 57}{space 4} -.344169{col 70}{space 3} 1.929438
{txt}{space 12}71  {c |}{col 17}{res}{space 2} -.955037{col 29}{space 2} 1.151009{col 40}{space 1}   -0.83{col 49}{space 3}0.407{col 57}{space 4}-3.210972{col 70}{space 3} 1.300898
{txt}{space 12}78  {c |}{col 17}{res}{space 2} .1774291{col 29}{space 2} 1.168259{col 40}{space 1}    0.15{col 49}{space 3}0.879{col 57}{space 4}-2.112316{col 70}{space 3} 2.467174
{txt}{space 12}82  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}85  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}141  {c |}{col 17}{res}{space 2} 1.947081{col 29}{space 2} .8257482{col 40}{space 1}    2.36{col 49}{space 3}0.018{col 57}{space 4} .3286439{col 70}{space 3} 3.565517
{txt}{space 11}147  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}150  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}154  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}174  {c |}{col 17}{res}{space 2} .0654271{col 29}{space 2} 1.169302{col 40}{space 1}    0.06{col 49}{space 3}0.955{col 57}{space 4}-2.226362{col 70}{space 3} 2.357216
{txt}{space 11}180  {c |}{col 17}{res}{space 2} 1.339537{col 29}{space 2} 1.229851{col 40}{space 1}    1.09{col 49}{space 3}0.276{col 57}{space 4}-1.070927{col 70}{space 3} 3.750001
{txt}{space 11}182  {c |}{col 17}{res}{space 2} .5399888{col 29}{space 2} 1.176825{col 40}{space 1}    0.46{col 49}{space 3}0.646{col 57}{space 4}-1.766545{col 70}{space 3} 2.846523
{txt}{space 11}184  {c |}{col 17}{res}{space 2} .7793272{col 29}{space 2} .8136659{col 40}{space 1}    0.96{col 49}{space 3}0.338{col 57}{space 4}-.8154287{col 70}{space 3} 2.374083
{txt}{space 11}188  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}196  {c |}{col 17}{res}{space 2} .3147378{col 29}{space 2} 1.188252{col 40}{space 1}    0.26{col 49}{space 3}0.791{col 57}{space 4}-2.014193{col 70}{space 3} 2.643669
{txt}{space 11}209  {c |}{col 17}{res}{space 2}-.3653037{col 29}{space 2} 1.153121{col 40}{space 1}   -0.32{col 49}{space 3}0.751{col 57}{space 4}-2.625379{col 70}{space 3} 1.894771
{txt}{space 11}217  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}219  {c |}{col 17}{res}{space 2} 1.632323{col 29}{space 2} .7884622{col 40}{space 1}    2.07{col 49}{space 3}0.038{col 57}{space 4}  .086966{col 70}{space 3} 3.177681
{txt}{space 11}222  {c |}{col 17}{res}{space 2} .9831132{col 29}{space 2} .8226159{col 40}{space 1}    1.20{col 49}{space 3}0.232{col 57}{space 4}-.6291844{col 70}{space 3} 2.595411
{txt}{space 11}227  {c |}{col 17}{res}{space 2} 2.207649{col 29}{space 2} .7590387{col 40}{space 1}    2.91{col 49}{space 3}0.004{col 57}{space 4} .7199603{col 70}{space 3} 3.695337
{txt}{space 11}229  {c |}{col 17}{res}{space 2} .8846248{col 29}{space 2} .6546287{col 40}{space 1}    1.35{col 49}{space 3}0.177{col 57}{space 4}-.3984238{col 70}{space 3} 2.167673
{txt}{space 11}232  {c |}{col 17}{res}{space 2} .2796623{col 29}{space 2}  .650006{col 40}{space 1}    0.43{col 49}{space 3}0.667{col 57}{space 4} -.994326{col 70}{space 3} 1.553651
{txt}{space 11}238  {c |}{col 17}{res}{space 2}-.2688497{col 29}{space 2} .6387581{col 40}{space 1}   -0.42{col 49}{space 3}0.674{col 57}{space 4}-1.520793{col 70}{space 3} .9830932
{txt}{space 11}248  {c |}{col 17}{res}{space 2} .6478084{col 29}{space 2} .6168283{col 40}{space 1}    1.05{col 49}{space 3}0.294{col 57}{space 4}-.5611528{col 70}{space 3}  1.85677
{txt}{space 11}255  {c |}{col 17}{res}{space 2} 1.387871{col 29}{space 2} .7379924{col 40}{space 1}    1.88{col 49}{space 3}0.060{col 57}{space 4}-.0585677{col 70}{space 3} 2.834309
{txt}{space 11}260  {c |}{col 17}{res}{space 2} .6824139{col 29}{space 2} .6563437{col 40}{space 1}    1.04{col 49}{space 3}0.298{col 57}{space 4}-.6039962{col 70}{space 3} 1.968824
{txt}{space 11}265  {c |}{col 17}{res}{space 2} .0895415{col 29}{space 2} .9194784{col 40}{space 1}    0.10{col 49}{space 3}0.922{col 57}{space 4}-1.712603{col 70}{space 3} 1.891686
{txt}{space 11}280  {c |}{col 17}{res}{space 2} .7915909{col 29}{space 2} .6542282{col 40}{space 1}    1.21{col 49}{space 3}0.226{col 57}{space 4}-.4906728{col 70}{space 3} 2.073855
{txt}{space 11}290  {c |}{col 17}{res}{space 2} .6618989{col 29}{space 2}  .711011{col 40}{space 1}    0.93{col 49}{space 3}0.352{col 57}{space 4}-.7316571{col 70}{space 3} 2.055455
{txt}{space 11}300  {c |}{col 17}{res}{space 2} .2501073{col 29}{space 2} 1.175893{col 40}{space 1}    0.21{col 49}{space 3}0.832{col 57}{space 4}  -2.0546{col 70}{space 3} 2.554814
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{txt}{space 11}525  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-6.102993{col 29}{space 2} .9240294{col 40}{space 1}   -6.60{col 49}{space 3}0.000{col 57}{space 4}-7.914058{col 70}{space 3}-4.291929
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *** Model 2 ***
. 
. *** Dichotomize years in office ***
. gen NUML_mean=1 if NUML_aut>5
{txt}(1,957 missing values generated)

{com}. replace NUML_mean=0 if NUML_mean==.
{txt}(1,957 real changes made)

{com}. 
. cem prev_education(#2) prev_pol_exp(#2) prev_class(#2) prev_occupation(#5) prev_pol_fam(#1), treatment(NUML_mean) 
{res}
{txt}Matching Summary:
-----------------
Number of strata: {res}4
{txt}Number of matched strata: {res}4

           {txt}   0     1
      All  {res}1957   840
{txt}  Matched  {res}1957   840
{txt}Unmatched  {res}   0     0


{txt}Multivariate L1 distance: {res}.24134659

{txt}Univariate imbalance:

                      L1     mean      min      25%      50%      75%      max
 prev_education  {res} .07414  -.08111        0       -1        0        0        0
{txt}   prev_pol_exp  {res} .09808   .18976        0        1        1        0        0
{txt}     prev_class  {res}  .1007  -.18714        0       -1        0        0        0
{txt}prev_occupation  {res} .04901   .04901        0        0        0        0        0
{txt}   prev_pol_fam  {res}  .0134   -.0134        0        0        0        0        0
{txt}
{com}. 
. logit major_frev NUML_mean prev_education prev_pol_exp prev_class prev_occupation prev_pol_fam i.gwf_caseid [iweight=cem_weights]

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 6 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 10 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 8 obs not used

note: 82.gwf_caseid != 0 predicts failure perfectly
      82.gwf_caseid dropped and 12 obs not used

note: 85.gwf_caseid != 0 predicts failure perfectly
      85.gwf_caseid dropped and 12 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 6 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 2 obs not used

note: 150.gwf_caseid != 0 predicts failure perfectly
      150.gwf_caseid dropped and 10 obs not used

note: 154.gwf_caseid != 0 predicts failure perfectly
      154.gwf_caseid dropped and 33 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 22 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 11 obs not used

note: 310.gwf_caseid != 0 predicts failure perfectly
      310.gwf_caseid dropped and 2 obs not used

note: 312.gwf_caseid != 0 predicts failure perfectly
      312.gwf_caseid dropped and 3 obs not used

note: 346.gwf_caseid != 0 predicts failure perfectly
      346.gwf_caseid dropped and 6 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 14 obs not used

note: 387.gwf_caseid != 0 predicts failure perfectly
      387.gwf_caseid dropped and 4 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 126 obs not used

note: 525.gwf_caseid != 0 predicts failure perfectly
      525.gwf_caseid dropped and 35 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-956.12713}  
Iteration 1:{space 3}log likelihood = {res:-853.19687}  
Iteration 2:{space 3}log likelihood = {res:-828.72546}  
Iteration 3:{space 3}log likelihood = {res:-823.87682}  
Iteration 4:{space 3}log likelihood = {res:-823.78685}  
Iteration 5:{space 3}log likelihood = {res:-823.78641}  
Iteration 6:{space 3}log likelihood = {res:-823.78641}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,475
{txt}{col 49}LR chi2({res}65{txt}){col 67}= {res}    264.68
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-823.78641{txt}{col 49}Pseudo R2{col 67}= {res}    0.1384

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}NUML_mean {c |}{col 17}{res}{space 2}-.8968987{col 29}{space 2} .1756061{col 40}{space 1}   -5.11{col 49}{space 3}0.000{col 57}{space 4} -1.24108{col 70}{space 3}-.5527171
{txt}{space 1}prev_education {c |}{col 17}{res}{space 2} .6977591{col 29}{space 2} .2045824{col 40}{space 1}    3.41{col 49}{space 3}0.001{col 57}{space 4}  .296785{col 70}{space 3} 1.098733
{txt}{space 3}prev_pol_exp {c |}{col 17}{res}{space 2}   .36952{col 29}{space 2} .0864861{col 40}{space 1}    4.27{col 49}{space 3}0.000{col 57}{space 4} .2000104{col 70}{space 3} .5390297
{txt}{space 5}prev_class {c |}{col 17}{res}{space 2}-.1639467{col 29}{space 2} .1233292{col 40}{space 1}   -1.33{col 49}{space 3}0.184{col 57}{space 4}-.4056676{col 70}{space 3} .0777741
{txt}prev_occupation {c |}{col 17}{res}{space 2}  .036332{col 29}{space 2} .0356425{col 40}{space 1}    1.02{col 49}{space 3}0.308{col 57}{space 4} -.033526{col 70}{space 3}   .10619
{txt}{space 3}prev_pol_fam {c |}{col 17}{res}{space 2} .4972256{col 29}{space 2} .1741956{col 40}{space 1}    2.85{col 49}{space 3}0.004{col 57}{space 4} .1558085{col 70}{space 3} .8386427
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-5.044016{col 29}{space 2} .8535937{col 40}{space 1}   -5.91{col 49}{space 3}0.000{col 57}{space 4}-6.717029{col 70}{space 3}-3.371003
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *** Model 3 ***
. 
. *** Prestigious portfolio ***
. cem prev_education(#2) prev_pol_exp(#2) prev_class(#2) prev_occupation(#5) prev_pol_fam(#1), treatment(prev_prestige_2) 
{res}
{txt}Matching Summary:
-----------------
Number of strata: {res}4
{txt}Number of matched strata: {res}4

           {txt}   0     1
      All  {res}2166   631
{txt}  Matched  {res}2166   631
{txt}Unmatched  {res}   0     0


{txt}Multivariate L1 distance: {res}.25569236

{txt}Univariate imbalance:

                      L1     mean      min      25%      50%      75%      max
 prev_education  {res} .06553  -.07162        0       -1        0        0        0
{txt}   prev_pol_exp  {res} .06234  -.11032        0        0        0        0        0
{txt}     prev_class  {res} .02095   .02827        0        0        0        0        0
{txt}prev_occupation  {res} .11122  -.11122        0        0        0        0        0
{txt}   prev_pol_fam  {res} .05436   .05436        0        0        0        1        0
{txt}
{com}. 
. logit major_frev prev_prestige_2 prev_education prev_pol_exp prev_class prev_occupation prev_pol_fam i.gwf_caseid [iweight=cem_weights]

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 6 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 10 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 8 obs not used

note: 82.gwf_caseid != 0 predicts failure perfectly
      82.gwf_caseid dropped and 12 obs not used

note: 85.gwf_caseid != 0 predicts failure perfectly
      85.gwf_caseid dropped and 12 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 6 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 2 obs not used

note: 150.gwf_caseid != 0 predicts failure perfectly
      150.gwf_caseid dropped and 10 obs not used

note: 154.gwf_caseid != 0 predicts failure perfectly
      154.gwf_caseid dropped and 33 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 22 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 11 obs not used

note: 310.gwf_caseid != 0 predicts failure perfectly
      310.gwf_caseid dropped and 2 obs not used

note: 312.gwf_caseid != 0 predicts failure perfectly
      312.gwf_caseid dropped and 3 obs not used

note: 346.gwf_caseid != 0 predicts failure perfectly
      346.gwf_caseid dropped and 6 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 14 obs not used

note: 387.gwf_caseid != 0 predicts failure perfectly
      387.gwf_caseid dropped and 4 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 126 obs not used

note: 525.gwf_caseid != 0 predicts failure perfectly
      525.gwf_caseid dropped and 35 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-951.07551}  
Iteration 1:{space 3}log likelihood = {res:-857.40418}  
Iteration 2:{space 3}log likelihood = {res:-832.44353}  
Iteration 3:{space 3}log likelihood = {res:-827.96571}  
Iteration 4:{space 3}log likelihood = {res:-827.85759}  
Iteration 5:{space 3}log likelihood = {res:-827.85699}  
Iteration 6:{space 3}log likelihood = {res:-827.85699}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,475
{txt}{col 49}LR chi2({res}65{txt}){col 67}= {res}    246.44
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-827.85699{txt}{col 49}Pseudo R2{col 67}= {res}    0.1296

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
prev_prestige_2 {c |}{col 17}{res}{space 2} .2484301{col 29}{space 2} .1513085{col 40}{space 1}    1.64{col 49}{space 3}0.101{col 57}{space 4}-.0481292{col 70}{space 3} .5449893
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{txt}{space 3}prev_pol_exp {c |}{col 17}{res}{space 2} .3352115{col 29}{space 2} .0861002{col 40}{space 1}    3.89{col 49}{space 3}0.000{col 57}{space 4} .1664582{col 70}{space 3} .5039647
{txt}{space 5}prev_class {c |}{col 17}{res}{space 2} -.147059{col 29}{space 2}  .122859{col 40}{space 1}   -1.20{col 49}{space 3}0.231{col 57}{space 4}-.3878582{col 70}{space 3} .0937401
{txt}prev_occupation {c |}{col 17}{res}{space 2}   .03185{col 29}{space 2} .0342358{col 40}{space 1}    0.93{col 49}{space 3}0.352{col 57}{space 4} -.035251{col 70}{space 3} .0989509
{txt}{space 3}prev_pol_fam {c |}{col 17}{res}{space 2} .3763314{col 29}{space 2} .1751083{col 40}{space 1}    2.15{col 49}{space 3}0.032{col 57}{space 4} .0331255{col 70}{space 3} .7195373
{txt}{space 15} {c |}
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-5.557771{col 29}{space 2} .8549018{col 40}{space 1}   -6.50{col 49}{space 3}0.000{col 57}{space 4}-7.233348{col 70}{space 3}-3.882194
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *** Model 4 ***
. 
. *** Military portfolio ***
. cem prev_education(#2) prev_pol_exp(#2) prev_class(#2) prev_occupation(#5) prev_pol_fam(#1), treatment(prev_military) 
{res}
{txt}Matching Summary:
-----------------
Number of strata: {res}4
{txt}Number of matched strata: {res}4

           {txt}   0     1
      All  {res}2617   180
{txt}  Matched  {res}2617   180
{txt}Unmatched  {res}   0     0


{txt}Multivariate L1 distance: {res}.4475096

{txt}Univariate imbalance:

                      L1     mean      min      25%      50%      75%      max
 prev_education  {res} .17396  -.18499        0        0        0        0        0
{txt}   prev_pol_exp  {res} .15473  -.26385        0        0        0        0        0
{txt}     prev_class  {res} .06336  -.08813        0       -1        0        0        0
{txt}prev_occupation  {res} .25813  -.24846        0        0        0       -1        0
{txt}   prev_pol_fam  {res} .00396  -.00396        0        0        0        0        0
{txt}
{com}. 
. logit major_frev prev_military prev_education prev_pol_exp prev_class prev_occupation prev_pol_fam i.gwf_caseid [iweight=cem_weights]

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 6 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 10 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 8 obs not used

note: 82.gwf_caseid != 0 predicts failure perfectly
      82.gwf_caseid dropped and 12 obs not used

note: 85.gwf_caseid != 0 predicts failure perfectly
      85.gwf_caseid dropped and 12 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 6 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 2 obs not used

note: 150.gwf_caseid != 0 predicts failure perfectly
      150.gwf_caseid dropped and 10 obs not used

note: 154.gwf_caseid != 0 predicts failure perfectly
      154.gwf_caseid dropped and 33 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 22 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 11 obs not used

note: 310.gwf_caseid != 0 predicts failure perfectly
      310.gwf_caseid dropped and 2 obs not used

note: 312.gwf_caseid != 0 predicts failure perfectly
      312.gwf_caseid dropped and 3 obs not used

note: 346.gwf_caseid != 0 predicts failure perfectly
      346.gwf_caseid dropped and 6 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 14 obs not used

note: 387.gwf_caseid != 0 predicts failure perfectly
      387.gwf_caseid dropped and 4 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 126 obs not used

note: 525.gwf_caseid != 0 predicts failure perfectly
      525.gwf_caseid dropped and 35 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-929.83548}  
Iteration 1:{space 3}log likelihood = {res:-807.82479}  
Iteration 2:{space 3}log likelihood = {res:-772.95013}  
Iteration 3:{space 3}log likelihood = {res:-765.52531}  
Iteration 4:{space 3}log likelihood = {res:-754.38159}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-748.75576}  
Iteration 6:{space 3}log likelihood = {res:-748.44559}  
Iteration 7:{space 3}log likelihood = {res:-748.44277}  
Iteration 8:{space 3}log likelihood = {res:-748.44277}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     2,475
{txt}{col 49}LR chi2({res}65{txt}){col 67}= {res}    362.79
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-748.44277{txt}{col 49}Pseudo R2{col 67}= {res}    0.1951

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}prev_military {c |}{col 17}{res}{space 2} .0161165{col 29}{space 2} .2924324{col 40}{space 1}    0.06{col 49}{space 3}0.956{col 57}{space 4}-.5570404{col 70}{space 3} .5892734
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{txt}{space 3}prev_pol_exp {c |}{col 17}{res}{space 2} .3101143{col 29}{space 2} .0923302{col 40}{space 1}    3.36{col 49}{space 3}0.001{col 57}{space 4} .1291504{col 70}{space 3} .4910783
{txt}{space 5}prev_class {c |}{col 17}{res}{space 2}-.3001237{col 29}{space 2} .1315736{col 40}{space 1}   -2.28{col 49}{space 3}0.023{col 57}{space 4}-.5580032{col 70}{space 3}-.0422443
{txt}prev_occupation {c |}{col 17}{res}{space 2} .0708691{col 29}{space 2} .0420717{col 40}{space 1}    1.68{col 49}{space 3}0.092{col 57}{space 4}  -.01159{col 70}{space 3} .1533282
{txt}{space 3}prev_pol_fam {c |}{col 17}{res}{space 2} .3798313{col 29}{space 2} .1962473{col 40}{space 1}    1.94{col 49}{space 3}0.053{col 57}{space 4}-.0048063{col 70}{space 3}  .764469
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{txt}{space 11}436  {c |}{col 17}{res}{space 2}-.3038123{col 29}{space 2} 1.022357{col 40}{space 1}   -0.30{col 49}{space 3}0.766{col 57}{space 4}-2.307595{col 70}{space 3}  1.69997
{txt}{space 11}439  {c |}{col 17}{res}{space 2} .7669379{col 29}{space 2} .9435134{col 40}{space 1}    0.81{col 49}{space 3}0.416{col 57}{space 4}-1.082314{col 70}{space 3}  2.61619
{txt}{space 11}441  {c |}{col 17}{res}{space 2} 2.246205{col 29}{space 2} .6414427{col 40}{space 1}    3.50{col 49}{space 3}0.000{col 57}{space 4} .9890006{col 70}{space 3}  3.50341
{txt}{space 11}448  {c |}{col 17}{res}{space 2} 1.176269{col 29}{space 2} .7377334{col 40}{space 1}    1.59{col 49}{space 3}0.111{col 57}{space 4}-.2696623{col 70}{space 3}   2.6222
{txt}{space 11}464  {c |}{col 17}{res}{space 2}  .244304{col 29}{space 2} .8125659{col 40}{space 1}    0.30{col 49}{space 3}0.764{col 57}{space 4}-1.348296{col 70}{space 3} 1.836904
{txt}{space 11}472  {c |}{col 17}{res}{space 2} .6304665{col 29}{space 2}   .75719{col 40}{space 1}    0.83{col 49}{space 3}0.405{col 57}{space 4}-.8535987{col 70}{space 3} 2.114532
{txt}{space 11}474  {c |}{col 17}{res}{space 2} 1.095563{col 29}{space 2} .5792783{col 40}{space 1}    1.89{col 49}{space 3}0.059{col 57}{space 4}-.0398014{col 70}{space 3} 2.230928
{txt}{space 11}476  {c |}{col 17}{res}{space 2}-.3014863{col 29}{space 2} .7086822{col 40}{space 1}   -0.43{col 49}{space 3}0.671{col 57}{space 4}-1.690478{col 70}{space 3} 1.087505
{txt}{space 11}478  {c |}{col 17}{res}{space 2}-3.198123{col 29}{space 2} 2.023434{col 40}{space 1}   -1.58{col 49}{space 3}0.114{col 57}{space 4}-7.163981{col 70}{space 3}  .767734
{txt}{space 11}483  {c |}{col 17}{res}{space 2}-1.565859{col 29}{space 2} 1.486231{col 40}{space 1}   -1.05{col 49}{space 3}0.292{col 57}{space 4}-4.478819{col 70}{space 3} 1.347101
{txt}{space 11}490  {c |}{col 17}{res}{space 2} 2.494002{col 29}{space 2} 1.321356{col 40}{space 1}    1.89{col 49}{space 3}0.059{col 57}{space 4}-.0958075{col 70}{space 3} 5.083812
{txt}{space 11}505  {c |}{col 17}{res}{space 2} .4187026{col 29}{space 2} .9121989{col 40}{space 1}    0.46{col 49}{space 3}0.646{col 57}{space 4}-1.369174{col 70}{space 3}  2.20658
{txt}{space 11}525  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}527  {c |}{col 17}{res}{space 2}-.7880539{col 29}{space 2} 1.169411{col 40}{space 1}   -0.67{col 49}{space 3}0.500{col 57}{space 4}-3.080057{col 70}{space 3} 1.503949
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-6.184995{col 29}{space 2} .8440854{col 40}{space 1}   -7.33{col 49}{space 3}0.000{col 57}{space 4}-7.839372{col 70}{space 3}-4.530618
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. *** Table A8 ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. merge m:1 name ccode using "P2P.dta", keep(master match)
{res}
{txt}{col 5}Result{col 38}# of obs.
{col 5}{hline 41}
{col 5}not matched{col 30}{res}          41,480
{txt}{col 9}from master{col 30}{res}          41,480{txt}  (_merge==1)
{col 9}from using{col 30}{res}               0{txt}  (_merge==2)

{col 5}matched{col 30}{res}         177,472{txt}  (_merge==3)
{col 5}{hline 41}

{com}. 
. 
. 
. *** Set macros ***
. global macro lrgdpopct1 rgdpopc_1yrcht1 litpopt1
{txt}
{com}. global p2p prev_education prev_pol_exp prev_class prev_occupation prev_pol_fam
{txt}
{com}. global time yr_t yr_since_exit
{txt}
{com}. global ind prev_core NUML_aut prev_prestige_2 prev_military 
{txt}
{com}. 
. 
. ***Matching
. 
. keep major_frev $ind $macro $pre female dem_const coldwar gwf_caseid $p2p $time ccode newid
{txt}
{com}. foreach v of var $p2p $ind $macro $pre female dem_const coldwar $time {c -(} 
{txt}  2{com}.         drop if missing(`v') 
{txt}  3{com}. {c )-}
{txt}(103,742 observations deleted)
(15,115 observations deleted)
(53,983 observations deleted)
(656 observations deleted)
(825 observations deleted)
(0 observations deleted)
(889 observations deleted)
(0 observations deleted)
(0 observations deleted)
(43 observations deleted)
(0 observations deleted)
(0 observations deleted)
(0 observations deleted)
(0 observations deleted)
(0 observations deleted)
(52 observations deleted)
(0 observations deleted)
(0 observations deleted)
(742 observations deleted)
(286 observations deleted)

{com}. 
. *** Model 1 ***
. 
. *** Core position ***
. 
. cem prev_education(#2) prev_pol_exp(#2) prev_class(#2) prev_occupation(#5) prev_pol_fam(#1) , treatment(prev_core) 
{res}
{txt}Matching Summary:
-----------------
Number of strata: {res}4
{txt}Number of matched strata: {res}4

           {txt}    0      1
      All  {res} 3655  38964
{txt}  Matched  {res} 3655  38964
{txt}Unmatched  {res}    0      0


{txt}Multivariate L1 distance: {res}.33668044

{txt}Univariate imbalance:

                      L1     mean      min      25%      50%      75%      max
 prev_education  {res} .02369   .01639        0        0        0        0        0
{txt}   prev_pol_exp  {res} .06185  -.10357        0       -1        0        0        0
{txt}     prev_class  {res} .08662   .00575        0        1        0        0        0
{txt}prev_occupation  {res} .00372   .00372        0        0        0        0        0
{txt}   prev_pol_fam  {res} .00543   .00543        0        0        0        0        0
{txt}
{com}. 
. logit major_frev prev_core prev_education prev_pol_exp prev_class prev_occupation prev_pol_fam yr_t yr_since_exit i.gwf_caseid [iweight=cem_weights]

{txt}note: 8.gwf_caseid != 0 predicts failure perfectly
      8.gwf_caseid dropped and 237 obs not used

note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 18 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 370 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 8 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 216 obs not used

note: 82.gwf_caseid != 0 predicts failure perfectly
      82.gwf_caseid dropped and 30 obs not used

note: 85.gwf_caseid != 0 predicts failure perfectly
      85.gwf_caseid dropped and 55 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 186 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 4 obs not used

note: 150.gwf_caseid != 0 predicts failure perfectly
      150.gwf_caseid dropped and 410 obs not used

note: 154.gwf_caseid != 0 predicts failure perfectly
      154.gwf_caseid dropped and 31 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 1012 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 11 obs not used

note: 310.gwf_caseid != 0 predicts failure perfectly
      310.gwf_caseid dropped and 40 obs not used

note: 312.gwf_caseid != 0 predicts failure perfectly
      312.gwf_caseid dropped and 21 obs not used

note: 346.gwf_caseid != 0 predicts failure perfectly
      346.gwf_caseid dropped and 18 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 48 obs not used

note: 387.gwf_caseid != 0 predicts failure perfectly
      387.gwf_caseid dropped and 48 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 248 obs not used

note: 525.gwf_caseid != 0 predicts failure perfectly
      525.gwf_caseid dropped and 170 obs not used

note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1747.8846}  
Iteration 1:{space 3}log likelihood = {res: -1544.063}  
Iteration 2:{space 3}log likelihood = {res:-1389.0449}  
Iteration 3:{space 3}log likelihood = {res:-1290.6401}  
Iteration 4:{space 3}log likelihood = {res:-1284.9932}  
Iteration 5:{space 3}log likelihood = {res:-1284.8717}  
Iteration 6:{space 3}log likelihood = {res:-1284.8716}  
Iteration 7:{space 3}log likelihood = {res:-1284.8716}  
Iteration 8:{space 3}log likelihood = {res:-1284.8716}  
Iteration 9:{space 3}log likelihood = {res:-1284.8716}  
Iteration 10:{space 2}log likelihood = {res:-1284.8716}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-1284.8716}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-1284.8716}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-1284.8716}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-1284.8716}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-1284.8716}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-1284.8716}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-1284.8716}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-1284.8716}  (backed up)
Iteration 19:{space 2}log likelihood = {res:-1284.8716}  (backed up)
Iteration 20:{space 2}log likelihood = {res:-1210.6705}  (backed up)
Iteration 21:{space 2}log likelihood = {res:-1192.5351}  
Iteration 22:{space 2}log likelihood = {res: -1185.709}  
Iteration 23:{space 2}log likelihood = {res:-1185.6243}  
Iteration 24:{space 2}log likelihood = {res:-1185.6243}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    38,484
{txt}{col 49}LR chi2({res}64{txt}){col 67}= {res}   1124.52
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1185.6243{txt}{col 49}Pseudo R2{col 67}= {res}    0.3217

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} .9112956{col 29}{space 2} .3199793{col 40}{space 1}    2.85{col 49}{space 3}0.004{col 57}{space 4} .2841478{col 70}{space 3} 1.538443
{txt}{space 1}prev_education {c |}{col 17}{res}{space 2}   .45012{col 29}{space 2} .2115199{col 40}{space 1}    2.13{col 49}{space 3}0.033{col 57}{space 4} .0355486{col 70}{space 3} .8646915
{txt}{space 3}prev_pol_exp {c |}{col 17}{res}{space 2} .2607111{col 29}{space 2} .0885284{col 40}{space 1}    2.94{col 49}{space 3}0.003{col 57}{space 4} .0871987{col 70}{space 3} .4342235
{txt}{space 5}prev_class {c |}{col 17}{res}{space 2} .0196792{col 29}{space 2} .1234572{col 40}{space 1}    0.16{col 49}{space 3}0.873{col 57}{space 4}-.2222924{col 70}{space 3} .2616508
{txt}prev_occupation {c |}{col 17}{res}{space 2} .0506103{col 29}{space 2} .0350796{col 40}{space 1}    1.44{col 49}{space 3}0.149{col 57}{space 4}-.0181444{col 70}{space 3} .1193651
{txt}{space 3}prev_pol_fam {c |}{col 17}{res}{space 2} .0550795{col 29}{space 2} .1715912{col 40}{space 1}    0.32{col 49}{space 3}0.748{col 57}{space 4}-.2812331{col 70}{space 3} .3913921
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2} -.050061{col 29}{space 2} .0263616{col 40}{space 1}   -1.90{col 49}{space 3}0.058{col 57}{space 4}-.1017288{col 70}{space 3} .0016068
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.1963731{col 29}{space 2} .0169811{col 40}{space 1}  -11.56{col 49}{space 3}0.000{col 57}{space 4}-.2296555{col 70}{space 3}-.1630906
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 13}8  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}36  {c |}{col 17}{res}{space 2} .7412013{col 29}{space 2} .7108721{col 40}{space 1}    1.04{col 49}{space 3}0.297{col 57}{space 4}-.6520824{col 70}{space 3} 2.134485
{txt}{space 12}38  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}51  {c |}{col 17}{res}{space 2} .9404875{col 29}{space 2} 1.203764{col 40}{space 1}    0.78{col 49}{space 3}0.435{col 57}{space 4}-1.418846{col 70}{space 3} 3.299821
{txt}{space 12}62  {c |}{col 17}{res}{space 2} .6611787{col 29}{space 2} 1.180635{col 40}{space 1}    0.56{col 49}{space 3}0.575{col 57}{space 4}-1.652824{col 70}{space 3} 2.975181
{txt}{space 12}69  {c |}{col 17}{res}{space 2}-.1303065{col 29}{space 2} .6439091{col 40}{space 1}   -0.20{col 49}{space 3}0.840{col 57}{space 4}-1.392345{col 70}{space 3} 1.131732
{txt}{space 12}71  {c |}{col 17}{res}{space 2}-1.955764{col 29}{space 2}   1.1713{col 40}{space 1}   -1.67{col 49}{space 3}0.095{col 57}{space 4} -4.25147{col 70}{space 3} .3399427
{txt}{space 12}78  {c |}{col 17}{res}{space 2} .0253764{col 29}{space 2} 1.190318{col 40}{space 1}    0.02{col 49}{space 3}0.983{col 57}{space 4}-2.307605{col 70}{space 3} 2.358357
{txt}{space 12}82  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}85  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}141  {c |}{col 17}{res}{space 2} .1233685{col 29}{space 2} .7904541{col 40}{space 1}    0.16{col 49}{space 3}0.876{col 57}{space 4}-1.425893{col 70}{space 3}  1.67263
{txt}{space 11}147  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}150  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}154  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}174  {c |}{col 17}{res}{space 2}-.6782943{col 29}{space 2} 1.177026{col 40}{space 1}   -0.58{col 49}{space 3}0.564{col 57}{space 4}-2.985223{col 70}{space 3} 1.628634
{txt}{space 11}180  {c |}{col 17}{res}{space 2} .1265508{col 29}{space 2} 1.205955{col 40}{space 1}    0.10{col 49}{space 3}0.916{col 57}{space 4}-2.237077{col 70}{space 3} 2.490179
{txt}{space 11}182  {c |}{col 17}{res}{space 2} .6378328{col 29}{space 2}  1.20996{col 40}{space 1}    0.53{col 49}{space 3}0.598{col 57}{space 4}-1.733646{col 70}{space 3} 3.009312
{txt}{space 11}184  {c |}{col 17}{res}{space 2}-.3910415{col 29}{space 2}  .839727{col 40}{space 1}   -0.47{col 49}{space 3}0.641{col 57}{space 4}-2.036876{col 70}{space 3} 1.254793
{txt}{space 11}188  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}196  {c |}{col 17}{res}{space 2} .0439995{col 29}{space 2} 1.185799{col 40}{space 1}    0.04{col 49}{space 3}0.970{col 57}{space 4}-2.280124{col 70}{space 3} 2.368123
{txt}{space 11}209  {c |}{col 17}{res}{space 2} .0867333{col 29}{space 2} 1.178539{col 40}{space 1}    0.07{col 49}{space 3}0.941{col 57}{space 4}-2.223161{col 70}{space 3} 2.396627
{txt}{space 11}217  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}219  {c |}{col 17}{res}{space 2} .7159283{col 29}{space 2} .9485712{col 40}{space 1}    0.75{col 49}{space 3}0.450{col 57}{space 4}-1.143237{col 70}{space 3} 2.575094
{txt}{space 11}222  {c |}{col 17}{res}{space 2} .8164747{col 29}{space 2} .8529903{col 40}{space 1}    0.96{col 49}{space 3}0.338{col 57}{space 4}-.8553556{col 70}{space 3} 2.488305
{txt}{space 11}227  {c |}{col 17}{res}{space 2} 2.327861{col 29}{space 2} .8351197{col 40}{space 1}    2.79{col 49}{space 3}0.005{col 57}{space 4} .6910562{col 70}{space 3} 3.964665
{txt}{space 11}229  {c |}{col 17}{res}{space 2}-.3614716{col 29}{space 2}  .701073{col 40}{space 1}   -0.52{col 49}{space 3}0.606{col 57}{space 4}-1.735549{col 70}{space 3} 1.012606
{txt}{space 11}232  {c |}{col 17}{res}{space 2}-.4235519{col 29}{space 2} .7009117{col 40}{space 1}   -0.60{col 49}{space 3}0.546{col 57}{space 4}-1.797314{col 70}{space 3} .9502097
{txt}{space 11}238  {c |}{col 17}{res}{space 2}-1.278625{col 29}{space 2} .6989175{col 40}{space 1}   -1.83{col 49}{space 3}0.067{col 57}{space 4}-2.648478{col 70}{space 3} .0912284
{txt}{space 11}248  {c |}{col 17}{res}{space 2} 1.077116{col 29}{space 2} .6782693{col 40}{space 1}    1.59{col 49}{space 3}0.112{col 57}{space 4}-.2522677{col 70}{space 3} 2.406499
{txt}{space 11}255  {c |}{col 17}{res}{space 2} .9574464{col 29}{space 2} .7692295{col 40}{space 1}    1.24{col 49}{space 3}0.213{col 57}{space 4}-.5502156{col 70}{space 3} 2.465108
{txt}{space 11}260  {c |}{col 17}{res}{space 2} .2150822{col 29}{space 2} .6997857{col 40}{space 1}    0.31{col 49}{space 3}0.759{col 57}{space 4}-1.156473{col 70}{space 3} 1.586637
{txt}{space 11}265  {c |}{col 17}{res}{space 2}-.3217546{col 29}{space 2} .9397751{col 40}{space 1}   -0.34{col 49}{space 3}0.732{col 57}{space 4} -2.16368{col 70}{space 3} 1.520171
{txt}{space 11}290  {c |}{col 17}{res}{space 2} .9541149{col 29}{space 2} .7631116{col 40}{space 1}    1.25{col 49}{space 3}0.211{col 57}{space 4}-.5415562{col 70}{space 3} 2.449786
{txt}{space 11}300  {c |}{col 17}{res}{space 2}-.2542536{col 29}{space 2}  1.18066{col 40}{space 1}   -0.22{col 49}{space 3}0.829{col 57}{space 4}-2.568305{col 70}{space 3} 2.059798
{txt}{space 11}302  {c |}{col 17}{res}{space 2} .3970069{col 29}{space 2}  .799825{col 40}{space 1}    0.50{col 49}{space 3}0.620{col 57}{space 4}-1.170621{col 70}{space 3} 1.964635
{txt}{space 11}304  {c |}{col 17}{res}{space 2} .7913088{col 29}{space 2} .8625137{col 40}{space 1}    0.92{col 49}{space 3}0.359{col 57}{space 4}-.8991869{col 70}{space 3} 2.481804
{txt}{space 11}306  {c |}{col 17}{res}{space 2} 1.282378{col 29}{space 2} .6677279{col 40}{space 1}    1.92{col 49}{space 3}0.055{col 57}{space 4}-.0263444{col 70}{space 3} 2.591101
{txt}{space 11}310  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}312  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}320  {c |}{col 17}{res}{space 2}-.7002516{col 29}{space 2} .9354541{col 40}{space 1}   -0.75{col 49}{space 3}0.454{col 57}{space 4}-2.533708{col 70}{space 3} 1.133205
{txt}{space 11}334  {c |}{col 17}{res}{space 2} .8060723{col 29}{space 2} .7474328{col 40}{space 1}    1.08{col 49}{space 3}0.281{col 57}{space 4}-.6588691{col 70}{space 3} 2.271014
{txt}{space 11}336  {c |}{col 17}{res}{space 2} 1.788029{col 29}{space 2} .7486619{col 40}{space 1}    2.39{col 49}{space 3}0.017{col 57}{space 4} .3206786{col 70}{space 3} 3.255379
{txt}{space 11}346  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}348  {c |}{col 17}{res}{space 2} 1.724666{col 29}{space 2} .8774099{col 40}{space 1}    1.97{col 49}{space 3}0.049{col 57}{space 4} .0049746{col 70}{space 3} 3.444358
{txt}{space 11}351  {c |}{col 17}{res}{space 2} 2.841042{col 29}{space 2} 1.214918{col 40}{space 1}    2.34{col 49}{space 3}0.019{col 57}{space 4} .4598459{col 70}{space 3} 5.222239
{txt}{space 11}354  {c |}{col 17}{res}{space 2}-1.506583{col 29}{space 2} 1.172075{col 40}{space 1}   -1.29{col 49}{space 3}0.199{col 57}{space 4}-3.803807{col 70}{space 3}  .790641
{txt}{space 11}357  {c |}{col 17}{res}{space 2}  .109968{col 29}{space 2}  .729653{col 40}{space 1}    0.15{col 49}{space 3}0.880{col 57}{space 4}-1.320126{col 70}{space 3} 1.540062
{txt}{space 11}362  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}365  {c |}{col 17}{res}{space 2} .1204951{col 29}{space 2} .6884011{col 40}{space 1}    0.18{col 49}{space 3}0.861{col 57}{space 4}-1.228746{col 70}{space 3} 1.469736
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{txt}{space 11}393  {c |}{col 17}{res}{space 2}-.7149413{col 29}{space 2} .7098896{col 40}{space 1}   -1.01{col 49}{space 3}0.314{col 57}{space 4}-2.106299{col 70}{space 3} .6764167
{txt}{space 11}395  {c |}{col 17}{res}{space 2}-1.347661{col 29}{space 2} .8399844{col 40}{space 1}   -1.60{col 49}{space 3}0.109{col 57}{space 4}   -2.994{col 70}{space 3} .2986778
{txt}{space 11}398  {c |}{col 17}{res}{space 2} -1.44763{col 29}{space 2} 1.171432{col 40}{space 1}   -1.24{col 49}{space 3}0.217{col 57}{space 4}-3.743594{col 70}{space 3} .8483335
{txt}{space 11}401  {c |}{col 17}{res}{space 2}-2.645208{col 29}{space 2} .9677308{col 40}{space 1}   -2.73{col 49}{space 3}0.006{col 57}{space 4}-4.541926{col 70}{space 3} -.748491
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{txt}{space 11}505  {c |}{col 17}{res}{space 2}-.6373227{col 29}{space 2} .7824091{col 40}{space 1}   -0.81{col 49}{space 3}0.415{col 57}{space 4}-2.170816{col 70}{space 3} .8961709
{txt}{space 11}525  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}527  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.952144{col 29}{space 2} .9637815{col 40}{space 1}   -5.14{col 49}{space 3}0.000{col 57}{space 4}-6.841121{col 70}{space 3}-3.063167
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *** Model 2 ***
. 
. *** Dichotomize years in office ***
. gen NUML_mean=1 if NUML_aut>5
{txt}(29,899 missing values generated)

{com}. replace NUML_mean=0 if NUML_mean==.
{txt}(29,899 real changes made)

{com}. 
. cem prev_education(#2) prev_pol_exp(#2) prev_class(#2) prev_occupation(#5) prev_pol_fam(#1) , treatment(NUML_mean) 
{res}
{txt}Matching Summary:
-----------------
Number of strata: {res}4
{txt}Number of matched strata: {res}4

           {txt}    0      1
      All  {res}29899  12720
{txt}  Matched  {res}29899  12720
{txt}Unmatched  {res}    0      0


{txt}Multivariate L1 distance: {res}.25369459

{txt}Univariate imbalance:

                      L1     mean      min      25%      50%      75%      max
 prev_education  {res} .07313  -.08081        0        0        0        0        0
{txt}   prev_pol_exp  {res}  .0891   .15849        0        1        0        0        0
{txt}     prev_class  {res} .11045  -.19677        0       -1        0       -1        0
{txt}prev_occupation  {res} .02678   .02678        0        0        0        0        0
{txt}   prev_pol_fam  {res} .02016  -.02016        0        0        0        0        0
{txt}
{com}. 
. logit major_frev NUML_mean prev_education prev_pol_exp prev_class prev_occupation prev_pol_fam yr_t yr_since_exit i.gwf_caseid [iweight=cem_weights]

{txt}note: 8.gwf_caseid != 0 predicts failure perfectly
      8.gwf_caseid dropped and 237 obs not used

note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 18 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 370 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 8 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 216 obs not used

note: 82.gwf_caseid != 0 predicts failure perfectly
      82.gwf_caseid dropped and 30 obs not used

note: 85.gwf_caseid != 0 predicts failure perfectly
      85.gwf_caseid dropped and 55 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 186 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 4 obs not used

note: 150.gwf_caseid != 0 predicts failure perfectly
      150.gwf_caseid dropped and 410 obs not used

note: 154.gwf_caseid != 0 predicts failure perfectly
      154.gwf_caseid dropped and 31 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 1012 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 11 obs not used

note: 310.gwf_caseid != 0 predicts failure perfectly
      310.gwf_caseid dropped and 40 obs not used

note: 312.gwf_caseid != 0 predicts failure perfectly
      312.gwf_caseid dropped and 21 obs not used

note: 346.gwf_caseid != 0 predicts failure perfectly
      346.gwf_caseid dropped and 18 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 48 obs not used

note: 387.gwf_caseid != 0 predicts failure perfectly
      387.gwf_caseid dropped and 48 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 248 obs not used

note: 525.gwf_caseid != 0 predicts failure perfectly
      525.gwf_caseid dropped and 170 obs not used

note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1733.7384}  
Iteration 1:{space 3}log likelihood = {res:-1517.6438}  
Iteration 2:{space 3}log likelihood = {res:-1360.0295}  
Iteration 3:{space 3}log likelihood = {res:-1258.9679}  
Iteration 4:{space 3}log likelihood = {res:-1253.0964}  
Iteration 5:{space 3}log likelihood = {res:-1253.0059}  
Iteration 6:{space 3}log likelihood = {res:-1252.9986}  
Iteration 7:{space 3}log likelihood = {res:-1252.9957}  
Iteration 8:{space 3}log likelihood = {res:-1252.9944}  
Iteration 9:{space 3}log likelihood = {res:-1252.9938}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-1252.9935}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-1252.9934}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-1252.9933}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-1252.9933}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-1252.9933}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-1252.9933}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-1184.4358}  (backed up)
Iteration 17:{space 2}log likelihood = {res: -1163.739}  
Iteration 18:{space 2}log likelihood = {res:-1163.3394}  
Iteration 19:{space 2}log likelihood = {res:-1163.3389}  
Iteration 20:{space 2}log likelihood = {res:-1163.3389}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    38,484
{txt}{col 49}LR chi2({res}64{txt}){col 67}= {res}   1140.80
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1163.3389{txt}{col 49}Pseudo R2{col 67}= {res}    0.3290

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}NUML_mean {c |}{col 17}{res}{space 2}-.7971329{col 29}{space 2} .1793749{col 40}{space 1}   -4.44{col 49}{space 3}0.000{col 57}{space 4}-1.148701{col 70}{space 3}-.4455644
{txt}{space 1}prev_education {c |}{col 17}{res}{space 2} .3647858{col 29}{space 2} .2130099{col 40}{space 1}    1.71{col 49}{space 3}0.087{col 57}{space 4}-.0527059{col 70}{space 3} .7822775
{txt}{space 3}prev_pol_exp {c |}{col 17}{res}{space 2} .2507161{col 29}{space 2} .0896057{col 40}{space 1}    2.80{col 49}{space 3}0.005{col 57}{space 4} .0750923{col 70}{space 3}   .42634
{txt}{space 5}prev_class {c |}{col 17}{res}{space 2}-.0363399{col 29}{space 2} .1249624{col 40}{space 1}   -0.29{col 49}{space 3}0.771{col 57}{space 4}-.2812616{col 70}{space 3} .2085818
{txt}prev_occupation {c |}{col 17}{res}{space 2} .0589256{col 29}{space 2}  .034669{col 40}{space 1}    1.70{col 49}{space 3}0.089{col 57}{space 4}-.0090243{col 70}{space 3} .1268756
{txt}{space 3}prev_pol_fam {c |}{col 17}{res}{space 2} .1325854{col 29}{space 2} .1737254{col 40}{space 1}    0.76{col 49}{space 3}0.445{col 57}{space 4}-.2079102{col 70}{space 3} .4730811
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2}-.0498031{col 29}{space 2} .0267286{col 40}{space 1}   -1.86{col 49}{space 3}0.062{col 57}{space 4}-.1021902{col 70}{space 3} .0025839
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.1971725{col 29}{space 2} .0173958{col 40}{space 1}  -11.33{col 49}{space 3}0.000{col 57}{space 4}-.2312676{col 70}{space 3}-.1630773
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{txt}{space 11}387  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}395  {c |}{col 17}{res}{space 2}-1.313936{col 29}{space 2} .8397681{col 40}{space 1}   -1.56{col 49}{space 3}0.118{col 57}{space 4}-2.959852{col 70}{space 3} .3319788
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{txt}{space 11}505  {c |}{col 17}{res}{space 2}-.7310863{col 29}{space 2} .7962413{col 40}{space 1}   -0.92{col 49}{space 3}0.359{col 57}{space 4}-2.291691{col 70}{space 3} .8295178
{txt}{space 11}525  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}527  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-3.578138{col 29}{space 2} .9101429{col 40}{space 1}   -3.93{col 49}{space 3}0.000{col 57}{space 4}-5.361985{col 70}{space 3} -1.79429
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. *** Model 3 ***
. 
. *** Prestigious position ***
. 
. cem prev_education(#2) prev_pol_exp(#2) prev_class(#2) prev_occupation(#5) prev_pol_fam(#1) , treatment(prev_prestige_2) 
{res}
{txt}Matching Summary:
-----------------
Number of strata: {res}4
{txt}Number of matched strata: {res}4

           {txt}    0      1
      All  {res}33249   9370
{txt}  Matched  {res}33249   9370
{txt}Unmatched  {res}    0      0


{txt}Multivariate L1 distance: {res}.2536363

{txt}Univariate imbalance:

                      L1     mean      min      25%      50%      75%      max
 prev_education  {res} .05219  -.06036        0        0        0        0        0
{txt}   prev_pol_exp  {res} .08294  -.15784        0        0        0        0        0
{txt}     prev_class  {res} .05686   .02962        0        0        0        0        0
{txt}prev_occupation  {res} .12925  -.12925        0        0        0        0        0
{txt}   prev_pol_fam  {res} .03514   .03514        0        0        0        0        0
{txt}
{com}. 
. logit major_frev prev_prestige_2 prev_education prev_pol_exp prev_class prev_occupation prev_pol_fam yr_t yr_since_exit i.gwf_caseid [iweight=cem_weights]

{txt}note: 8.gwf_caseid != 0 predicts failure perfectly
      8.gwf_caseid dropped and 237 obs not used

note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 18 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 370 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 8 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 216 obs not used

note: 82.gwf_caseid != 0 predicts failure perfectly
      82.gwf_caseid dropped and 30 obs not used

note: 85.gwf_caseid != 0 predicts failure perfectly
      85.gwf_caseid dropped and 55 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 186 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 4 obs not used

note: 150.gwf_caseid != 0 predicts failure perfectly
      150.gwf_caseid dropped and 410 obs not used

note: 154.gwf_caseid != 0 predicts failure perfectly
      154.gwf_caseid dropped and 31 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 1012 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 11 obs not used

note: 310.gwf_caseid != 0 predicts failure perfectly
      310.gwf_caseid dropped and 40 obs not used

note: 312.gwf_caseid != 0 predicts failure perfectly
      312.gwf_caseid dropped and 21 obs not used

note: 346.gwf_caseid != 0 predicts failure perfectly
      346.gwf_caseid dropped and 18 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 48 obs not used

note: 387.gwf_caseid != 0 predicts failure perfectly
      387.gwf_caseid dropped and 48 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 248 obs not used

note: 525.gwf_caseid != 0 predicts failure perfectly
      525.gwf_caseid dropped and 170 obs not used

note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1720.9079}  
Iteration 1:{space 3}log likelihood = {res:-1513.1431}  
Iteration 2:{space 3}log likelihood = {res:-1351.8054}  
Iteration 3:{space 3}log likelihood = {res:-1260.5009}  
Iteration 4:{space 3}log likelihood = {res:-1255.0078}  
Iteration 5:{space 3}log likelihood = {res:-1249.6869}  
Iteration 6:{space 3}log likelihood = {res:-1249.6868}  
Iteration 7:{space 3}log likelihood = {res:-1249.6868}  (backed up)
Iteration 8:{space 3}log likelihood = {res:-1249.6868}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-1249.6868}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-1249.6868}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-1209.6071}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-1166.5791}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-1165.9656}  
Iteration 14:{space 2}log likelihood = {res:-1165.9629}  
Iteration 15:{space 2}log likelihood = {res:-1165.9629}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    38,484
{txt}{col 49}LR chi2({res}64{txt}){col 67}= {res}   1109.89
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1165.9629{txt}{col 49}Pseudo R2{col 67}= {res}    0.3225

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
prev_prestige_2 {c |}{col 17}{res}{space 2}-.0078858{col 29}{space 2} .1474482{col 40}{space 1}   -0.05{col 49}{space 3}0.957{col 57}{space 4}-.2968789{col 70}{space 3} .2811073
{txt}{space 1}prev_education {c |}{col 17}{res}{space 2} .4982131{col 29}{space 2}  .212242{col 40}{space 1}    2.35{col 49}{space 3}0.019{col 57}{space 4} .0822265{col 70}{space 3} .9141997
{txt}{space 3}prev_pol_exp {c |}{col 17}{res}{space 2}  .250089{col 29}{space 2} .0894495{col 40}{space 1}    2.80{col 49}{space 3}0.005{col 57}{space 4} .0747711{col 70}{space 3} .4254069
{txt}{space 5}prev_class {c |}{col 17}{res}{space 2} .0058415{col 29}{space 2} .1250947{col 40}{space 1}    0.05{col 49}{space 3}0.963{col 57}{space 4}-.2393396{col 70}{space 3} .2510227
{txt}prev_occupation {c |}{col 17}{res}{space 2}  .056658{col 29}{space 2} .0337103{col 40}{space 1}    1.68{col 49}{space 3}0.093{col 57}{space 4}-.0094131{col 70}{space 3}  .122729
{txt}{space 3}prev_pol_fam {c |}{col 17}{res}{space 2}-.0065993{col 29}{space 2} .1762849{col 40}{space 1}   -0.04{col 49}{space 3}0.970{col 57}{space 4}-.3521114{col 70}{space 3} .3389128
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2}-.0526992{col 29}{space 2} .0263791{col 40}{space 1}   -2.00{col 49}{space 3}0.046{col 57}{space 4}-.1044013{col 70}{space 3}-.0009971
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.1935527{col 29}{space 2} .0168505{col 40}{space 1}  -11.49{col 49}{space 3}0.000{col 57}{space 4}-.2265792{col 70}{space 3}-.1605263
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{space 12}85  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}395  {c |}{col 17}{res}{space 2}-1.187071{col 29}{space 2} .8805777{col 40}{space 1}   -1.35{col 49}{space 3}0.178{col 57}{space 4}-2.912971{col 70}{space 3} .5388301
{txt}{space 11}398  {c |}{col 17}{res}{space 2}-1.329089{col 29}{space 2} 1.243088{col 40}{space 1}   -1.07{col 49}{space 3}0.285{col 57}{space 4}-3.765496{col 70}{space 3} 1.107318
{txt}{space 11}401  {c |}{col 17}{res}{space 2}-2.781846{col 29}{space 2} 1.048459{col 40}{space 1}   -2.65{col 49}{space 3}0.008{col 57}{space 4}-4.836786{col 70}{space 3}-.7269046
{txt}{space 11}402  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}428  {c |}{col 17}{res}{space 2} .4768361{col 29}{space 2} .6875782{col 40}{space 1}    0.69{col 49}{space 3}0.488{col 57}{space 4}-.8707923{col 70}{space 3} 1.824465
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{txt}{space 11}490  {c |}{col 17}{res}{space 2} .2954893{col 29}{space 2}  .998413{col 40}{space 1}    0.30{col 49}{space 3}0.767{col 57}{space 4}-1.661364{col 70}{space 3} 2.252343
{txt}{space 11}505  {c |}{col 17}{res}{space 2}-.5802986{col 29}{space 2} .8540991{col 40}{space 1}   -0.68{col 49}{space 3}0.497{col 57}{space 4}-2.254302{col 70}{space 3} 1.093705
{txt}{space 11}525  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}527  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.338259{col 29}{space 2} .9467759{col 40}{space 1}   -4.58{col 49}{space 3}0.000{col 57}{space 4}-6.193906{col 70}{space 3}-2.482612
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. *** Model 4 ***
. 
. *** Military portfolio ***
. cem prev_education(#2) prev_pol_exp(#2) prev_class(#2) prev_occupation(#5) prev_pol_fam(#1), treatment(prev_military) 
{res}
{txt}Matching Summary:
-----------------
Number of strata: {res}4
{txt}Number of matched strata: {res}4

           {txt}    0      1
      All  {res}40038   2581
{txt}  Matched  {res}40038   2581
{txt}Unmatched  {res}    0      0


{txt}Multivariate L1 distance: {res}.46502738

{txt}Univariate imbalance:

                      L1     mean      min      25%      50%      75%      max
 prev_education  {res} .15918  -.17573        0        0        0        0        0
{txt}   prev_pol_exp  {res} .23745  -.41103        0        0       -1        0        0
{txt}     prev_class  {res} .11902  -.03239        0        1        0       -1        0
{txt}prev_occupation  {res} .31641  -.29764        0        0        0       -1        0
{txt}   prev_pol_fam  {res} .00213   .00213        0        0        0        0        0
{txt}
{com}. 
. logit major_frev prev_military prev_education prev_pol_exp prev_class prev_occupation prev_pol_fam yr_t yr_since_exit i.gwf_caseid [iweight=cem_weights]

{txt}note: 8.gwf_caseid != 0 predicts failure perfectly
      8.gwf_caseid dropped and 237 obs not used

note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 18 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 370 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 8 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 216 obs not used

note: 82.gwf_caseid != 0 predicts failure perfectly
      82.gwf_caseid dropped and 30 obs not used

note: 85.gwf_caseid != 0 predicts failure perfectly
      85.gwf_caseid dropped and 55 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 186 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 4 obs not used

note: 150.gwf_caseid != 0 predicts failure perfectly
      150.gwf_caseid dropped and 410 obs not used

note: 154.gwf_caseid != 0 predicts failure perfectly
      154.gwf_caseid dropped and 31 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 1012 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 11 obs not used

note: 310.gwf_caseid != 0 predicts failure perfectly
      310.gwf_caseid dropped and 40 obs not used

note: 312.gwf_caseid != 0 predicts failure perfectly
      312.gwf_caseid dropped and 21 obs not used

note: 346.gwf_caseid != 0 predicts failure perfectly
      346.gwf_caseid dropped and 18 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 48 obs not used

note: 387.gwf_caseid != 0 predicts failure perfectly
      387.gwf_caseid dropped and 48 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 248 obs not used

note: 525.gwf_caseid != 0 predicts failure perfectly
      525.gwf_caseid dropped and 170 obs not used

note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1599.6016}  
Iteration 1:{space 3}log likelihood = {res:-1335.0085}  
Iteration 2:{space 3}log likelihood = {res:-1127.4264}  
Iteration 3:{space 3}log likelihood = {res:-1008.4544}  
Iteration 4:{space 3}log likelihood = {res:-999.91999}  
Iteration 5:{space 3}log likelihood = {res:-999.53852}  
Iteration 6:{space 3}log likelihood = {res:-999.53734}  
Iteration 7:{space 3}log likelihood = {res:-999.53717}  
Iteration 8:{space 3}log likelihood = {res:-999.53714}  
Iteration 9:{space 3}log likelihood = {res:-999.53712}  
Iteration 10:{space 2}log likelihood = {res:-999.53712}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-999.53712}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-999.53712}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-999.53712}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-999.53712}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-999.53712}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-990.66368}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-985.51365}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-980.21798}  
Iteration 19:{space 2}log likelihood = {res:-979.88744}  
Iteration 20:{space 2}log likelihood = {res:-979.87738}  
Iteration 21:{space 2}log likelihood = {res:-979.87738}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    38,484
{txt}{col 49}LR chi2({res}64{txt}){col 67}= {res}   1239.45
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-979.87738{txt}{col 49}Pseudo R2{col 67}= {res}    0.3874

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}prev_military {c |}{col 17}{res}{space 2}-.0755155{col 29}{space 2} .3007105{col 40}{space 1}   -0.25{col 49}{space 3}0.802{col 57}{space 4}-.6648972{col 70}{space 3} .5138663
{txt}{space 1}prev_education {c |}{col 17}{res}{space 2} 1.220135{col 29}{space 2} .2280902{col 40}{space 1}    5.35{col 49}{space 3}0.000{col 57}{space 4} .7730869{col 70}{space 3} 1.667184
{txt}{space 3}prev_pol_exp {c |}{col 17}{res}{space 2} .1969864{col 29}{space 2} .1033386{col 40}{space 1}    1.91{col 49}{space 3}0.057{col 57}{space 4}-.0055534{col 70}{space 3} .3995263
{txt}{space 5}prev_class {c |}{col 17}{res}{space 2} .0271236{col 29}{space 2} .1448222{col 40}{space 1}    0.19{col 49}{space 3}0.851{col 57}{space 4}-.2567228{col 70}{space 3} .3109699
{txt}prev_occupation {c |}{col 17}{res}{space 2} .1625195{col 29}{space 2} .0490628{col 40}{space 1}    3.31{col 49}{space 3}0.001{col 57}{space 4} .0663581{col 70}{space 3} .2586809
{txt}{space 3}prev_pol_fam {c |}{col 17}{res}{space 2}-.2784149{col 29}{space 2} .2152675{col 40}{space 1}   -1.29{col 49}{space 3}0.196{col 57}{space 4}-.7003314{col 70}{space 3} .1435015
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2} -.043733{col 29}{space 2} .0284361{col 40}{space 1}   -1.54{col 49}{space 3}0.124{col 57}{space 4}-.0994667{col 70}{space 3} .0120007
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.2150776{col 29}{space 2} .0181048{col 40}{space 1}  -11.88{col 49}{space 3}0.000{col 57}{space 4}-.2505624{col 70}{space 3}-.1795928
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 13}8  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{space 12}51  {c |}{col 17}{res}{space 2}-.0496913{col 29}{space 2} 2.686637{col 40}{space 1}   -0.02{col 49}{space 3}0.985{col 57}{space 4}-5.315403{col 70}{space 3} 5.216021
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{txt}{space 12}71  {c |}{col 17}{res}{space 2}-2.209582{col 29}{space 2} 2.264679{col 40}{space 1}   -0.98{col 49}{space 3}0.329{col 57}{space 4}-6.648272{col 70}{space 3} 2.229108
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{txt}{space 12}82  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}85  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}395  {c |}{col 17}{res}{space 2}-.3716366{col 29}{space 2}  1.32449{col 40}{space 1}   -0.28{col 49}{space 3}0.779{col 57}{space 4} -2.96759{col 70}{space 3} 2.224316
{txt}{space 11}398  {c |}{col 17}{res}{space 2}-2.107251{col 29}{space 2} 2.674481{col 40}{space 1}   -0.79{col 49}{space 3}0.431{col 57}{space 4}-7.349137{col 70}{space 3} 3.134635
{txt}{space 11}401  {c |}{col 17}{res}{space 2}-3.759181{col 29}{space 2} 1.938203{col 40}{space 1}   -1.94{col 49}{space 3}0.052{col 57}{space 4} -7.55799{col 70}{space 3} .0396282
{txt}{space 11}402  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}436  {c |}{col 17}{res}{space 2}-.9317811{col 29}{space 2} 1.644506{col 40}{space 1}   -0.57{col 49}{space 3}0.571{col 57}{space 4}-4.154954{col 70}{space 3} 2.291392
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{txt}{space 11}448  {c |}{col 17}{res}{space 2} 1.426197{col 29}{space 2} 1.369591{col 40}{space 1}    1.04{col 49}{space 3}0.298{col 57}{space 4}-1.258153{col 70}{space 3} 4.110547
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{txt}{space 11}505  {c |}{col 17}{res}{space 2}-.0963469{col 29}{space 2} 1.500018{col 40}{space 1}   -0.06{col 49}{space 3}0.949{col 57}{space 4}-3.036328{col 70}{space 3} 2.843634
{txt}{space 11}525  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}527  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-7.194015{col 29}{space 2} 1.481437{col 40}{space 1}   -4.86{col 49}{space 3}0.000{col 57}{space 4}-10.09758{col 70}{space 3}-4.290452
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 135 failures and 0 successes completely determined.{p_end}

{com}. 
. 
. *** Table A9 ***
. 
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. *** Model 1 ***
. 
. logit major_frev $ind mean_reshuf i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3773.4462}  
Iteration 1:{space 3}log likelihood = {res:-3502.1146}  
Iteration 2:{space 3}log likelihood = {res:-3457.8921}  
Iteration 3:{space 3}log likelihood = {res:-3426.2163}  (backed up)
Iteration 4:{space 3}log likelihood = {res:-3393.8777}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-3276.1987}  (backed up)
Iteration 6:{space 3}log likelihood = {res:-3259.7813}  
Iteration 7:{space 3}log likelihood = {res:-3258.6641}  
Iteration 8:{space 3}log likelihood = {res:-3258.6465}  
Iteration 9:{space 3}log likelihood = {res:-3258.6465}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,525
{txt}{col 49}LR chi2({res}94{txt}){col 67}= {res}   1029.60
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3258.6465{txt}{col 49}Pseudo R2{col 67}= {res}    0.1364

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.214159{col 29}{space 2}   .15204{col 40}{space 1}    7.99{col 49}{space 3}0.000{col 57}{space 4} .9161666{col 70}{space 3} 1.512152
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2} -.135498{col 29}{space 2} .0141354{col 40}{space 1}   -9.59{col 49}{space 3}0.000{col 57}{space 4} -.163203{col 70}{space 3}-.1077931
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .3161638{col 29}{space 2} .0902475{col 40}{space 1}    3.50{col 49}{space 3}0.000{col 57}{space 4} .1392819{col 70}{space 3} .4930456
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2} -.222579{col 29}{space 2} .1773233{col 40}{space 1}   -1.26{col 49}{space 3}0.209{col 57}{space 4}-.5701262{col 70}{space 3} .1249683
{txt}{space 4}mean_reshuf {c |}{col 17}{res}{space 2}-2.526653{col 29}{space 2}  .322143{col 40}{space 1}   -7.84{col 49}{space 3}0.000{col 57}{space 4}-3.158041{col 70}{space 3}-1.895264
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}376  {c |}{col 17}{res}{space 2} 1.077304{col 29}{space 2} .5332483{col 40}{space 1}    2.02{col 49}{space 3}0.043{col 57}{space 4} .0321567{col 70}{space 3} 2.122451
{txt}{space 11}380  {c |}{col 17}{res}{space 2} 1.277014{col 29}{space 2} .6533109{col 40}{space 1}    1.95{col 49}{space 3}0.051{col 57}{space 4}-.0034521{col 70}{space 3}  2.55748
{txt}{space 11}387  {c |}{col 17}{res}{space 2} .1617723{col 29}{space 2} .7036869{col 40}{space 1}    0.23{col 49}{space 3}0.818{col 57}{space 4}-1.217429{col 70}{space 3} 1.540973
{txt}{space 11}390  {c |}{col 17}{res}{space 2}-.8231743{col 29}{space 2} .8095979{col 40}{space 1}   -1.02{col 49}{space 3}0.309{col 57}{space 4}-2.409957{col 70}{space 3} .7636084
{txt}{space 11}393  {c |}{col 17}{res}{space 2} 2.043762{col 29}{space 2} .4987863{col 40}{space 1}    4.10{col 49}{space 3}0.000{col 57}{space 4} 1.066159{col 70}{space 3} 3.021365
{txt}{space 11}395  {c |}{col 17}{res}{space 2}-.4738143{col 29}{space 2} .6974208{col 40}{space 1}   -0.68{col 49}{space 3}0.497{col 57}{space 4}-1.840734{col 70}{space 3} .8931054
{txt}{space 11}398  {c |}{col 17}{res}{space 2} 1.219631{col 29}{space 2} .5821401{col 40}{space 1}    2.10{col 49}{space 3}0.036{col 57}{space 4} .0786579{col 70}{space 3} 2.360605
{txt}{space 11}401  {c |}{col 17}{res}{space 2}-.6384192{col 29}{space 2} .8087091{col 40}{space 1}   -0.79{col 49}{space 3}0.430{col 57}{space 4} -2.22346{col 70}{space 3} .9466216
{txt}{space 11}402  {c |}{col 17}{res}{space 2}-1.886907{col 29}{space 2} 1.073237{col 40}{space 1}   -1.76{col 49}{space 3}0.079{col 57}{space 4}-3.990413{col 70}{space 3} .2165992
{txt}{space 11}409  {c |}{col 17}{res}{space 2} 2.599462{col 29}{space 2} .4343336{col 40}{space 1}    5.98{col 49}{space 3}0.000{col 57}{space 4} 1.748183{col 70}{space 3}  3.45074
{txt}{space 11}411  {c |}{col 17}{res}{space 2}-.6868968{col 29}{space 2} .5918705{col 40}{space 1}   -1.16{col 49}{space 3}0.246{col 57}{space 4}-1.846942{col 70}{space 3} .4731481
{txt}{space 11}417  {c |}{col 17}{res}{space 2} 1.646739{col 29}{space 2} .4555866{col 40}{space 1}    3.61{col 49}{space 3}0.000{col 57}{space 4} .7538056{col 70}{space 3} 2.539672
{txt}{space 11}419  {c |}{col 17}{res}{space 2} 2.123432{col 29}{space 2}  .437154{col 40}{space 1}    4.86{col 49}{space 3}0.000{col 57}{space 4} 1.266626{col 70}{space 3} 2.980238
{txt}{space 11}428  {c |}{col 17}{res}{space 2}  2.81062{col 29}{space 2} .4451008{col 40}{space 1}    6.31{col 49}{space 3}0.000{col 57}{space 4} 1.938238{col 70}{space 3} 3.683001
{txt}{space 11}436  {c |}{col 17}{res}{space 2} .8143575{col 29}{space 2} .5733157{col 40}{space 1}    1.42{col 49}{space 3}0.155{col 57}{space 4}-.3093206{col 70}{space 3} 1.938036
{txt}{space 11}439  {c |}{col 17}{res}{space 2} 2.496174{col 29}{space 2}  .511843{col 40}{space 1}    4.88{col 49}{space 3}0.000{col 57}{space 4}  1.49298{col 70}{space 3} 3.499368
{txt}{space 11}441  {c |}{col 17}{res}{space 2} 3.244748{col 29}{space 2} .4251857{col 40}{space 1}    7.63{col 49}{space 3}0.000{col 57}{space 4} 2.411399{col 70}{space 3} 4.078097
{txt}{space 11}448  {c |}{col 17}{res}{space 2} 1.240033{col 29}{space 2} .4711704{col 40}{space 1}    2.63{col 49}{space 3}0.008{col 57}{space 4} .3165558{col 70}{space 3}  2.16351
{txt}{space 11}464  {c |}{col 17}{res}{space 2} 1.478382{col 29}{space 2} .4582655{col 40}{space 1}    3.23{col 49}{space 3}0.001{col 57}{space 4} .5801982{col 70}{space 3} 2.376566
{txt}{space 11}472  {c |}{col 17}{res}{space 2} 1.363029{col 29}{space 2}  .716542{col 40}{space 1}    1.90{col 49}{space 3}0.057{col 57}{space 4}-.0413671{col 70}{space 3} 2.767426
{txt}{space 11}474  {c |}{col 17}{res}{space 2} 1.847658{col 29}{space 2} .4481848{col 40}{space 1}    4.12{col 49}{space 3}0.000{col 57}{space 4} .9692316{col 70}{space 3} 2.726084
{txt}{space 11}476  {c |}{col 17}{res}{space 2} 1.008306{col 29}{space 2} .4957748{col 40}{space 1}    2.03{col 49}{space 3}0.042{col 57}{space 4} .0366049{col 70}{space 3} 1.980006
{txt}{space 11}478  {c |}{col 17}{res}{space 2} -.892317{col 29}{space 2} .8087805{col 40}{space 1}   -1.10{col 49}{space 3}0.270{col 57}{space 4}-2.477498{col 70}{space 3} .6928636
{txt}{space 11}483  {c |}{col 17}{res}{space 2} .7833781{col 29}{space 2} .5147355{col 40}{space 1}    1.52{col 49}{space 3}0.128{col 57}{space 4}-.2254849{col 70}{space 3} 1.792241
{txt}{space 11}490  {c |}{col 17}{res}{space 2} .7413698{col 29}{space 2} .7126137{col 40}{space 1}    1.04{col 49}{space 3}0.298{col 57}{space 4}-.6553274{col 70}{space 3} 2.138067
{txt}{space 11}505  {c |}{col 17}{res}{space 2} 1.332409{col 29}{space 2} .5440017{col 40}{space 1}    2.45{col 49}{space 3}0.014{col 57}{space 4}  .266185{col 70}{space 3} 2.398633
{txt}{space 11}508  {c |}{col 17}{res}{space 2}-.4001165{col 29}{space 2} 1.082234{col 40}{space 1}   -0.37{col 49}{space 3}0.712{col 57}{space 4}-2.521256{col 70}{space 3} 1.721023
{txt}{space 11}525  {c |}{col 17}{res}{space 2} .5185937{col 29}{space 2} .7024835{col 40}{space 1}    0.74{col 49}{space 3}0.460{col 57}{space 4}-.8582487{col 70}{space 3} 1.895436
{txt}{space 11}527  {c |}{col 17}{res}{space 2} .6466973{col 29}{space 2} .5453445{col 40}{space 1}    1.19{col 49}{space 3}0.236{col 57}{space 4}-.4221582{col 70}{space 3} 1.715553
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.164714{col 29}{space 2} .4141877{col 40}{space 1}  -10.06{col 49}{space 3}0.000{col 57}{space 4}-4.976507{col 70}{space 3}-3.352921
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,531{col 51}{txt}missing .:  {res}0{txt}/{res}15,525

{txt}{col 19}mean:{res}{col 26} 27418.6
{txt}{col 15}std. dev:{res}{col 26} 16160.7

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    5118{col 37}   13268{col 47}   27177{col 57}   41534{col 67}   49824

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}15,525

{txt}{col 19}mean:{res}{col 26} 479.866
{txt}{col 15}std. dev:{res}{col 26}  221.05

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      95{col 37}     365{col 47}     451{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}90{col 51}{txt}missing .:  {res}0{txt}/{res}15,525

{txt}{col 19}mean:{res}{col 26} 282.948
{txt}{col 15}std. dev:{res}{col 26} 138.913

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     304{col 57}     401{col 67}     464
{txt}
{com}. 
. *** Model 2 ***
. 
. logit major_frev $ind mean_reshuf female dem_const coldwar $pre $macro i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res: -3771.192}  
Iteration 1:{space 3}log likelihood = {res:-2725.5794}  
Iteration 2:{space 3}log likelihood = {res:-2589.5711}  
Iteration 3:{space 3}log likelihood = {res:-2255.6671}  
Iteration 4:{space 3}log likelihood = {res:-2182.8538}  
Iteration 5:{space 3}log likelihood = {res:-2089.6378}  
Iteration 6:{space 3}log likelihood = {res:-2081.4636}  
Iteration 7:{space 3}log likelihood = {res:-2081.1686}  
Iteration 8:{space 3}log likelihood = {res:-2081.1672}  
Iteration 9:{space 3}log likelihood = {res:-2081.1672}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,492
{txt}{col 49}LR chi2({res}100{txt}){col 67}= {res}   3380.05
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2081.1672{txt}{col 49}Pseudo R2{col 67}= {res}    0.4481

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 2.172168{col 31}{space 2} .2261871{col 42}{space 1}    9.60{col 51}{space 3}0.000{col 59}{space 4}  1.72885{col 72}{space 3} 2.615487
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.1054638{col 31}{space 2}  .016591{col 42}{space 1}   -6.36{col 51}{space 3}0.000{col 59}{space 4}-.1379816{col 72}{space 3} -.072946
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2905546{col 31}{space 2} .1168571{col 42}{space 1}    2.49{col 51}{space 3}0.013{col 59}{space 4} .0615189{col 72}{space 3} .5195902
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.2307495{col 31}{space 2} .2376947{col 42}{space 1}   -0.97{col 51}{space 3}0.332{col 59}{space 4}-.6966226{col 72}{space 3} .2351236
{txt}{space 6}mean_reshuf {c |}{col 19}{res}{space 2}-1.964526{col 31}{space 2} .3951218{col 42}{space 1}   -4.97{col 51}{space 3}0.000{col 59}{space 4}-2.738951{col 72}{space 3}-1.190102
{txt}{space 11}female {c |}{col 19}{res}{space 2} .4443131{col 31}{space 2} .1651112{col 42}{space 1}    2.69{col 51}{space 3}0.007{col 59}{space 4} .1207011{col 72}{space 3} .7679252
{txt}{space 8}dem_const {c |}{col 19}{res}{space 2}-2.062787{col 31}{space 2} .5019396{col 42}{space 1}   -4.11{col 51}{space 3}0.000{col 59}{space 4} -3.04657{col 72}{space 3}-1.079003
{txt}{space 10}coldwar {c |}{col 19}{res}{space 2}-.8309545{col 31}{space 2} .6718159{col 42}{space 1}   -1.24{col 51}{space 3}0.216{col 59}{space 4} -2.14769{col 72}{space 3} .4857804
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-54.86607{col 31}{space 2} 5.295704{col 42}{space 1}  -10.36{col 51}{space 3}0.000{col 59}{space 4}-65.24545{col 72}{space 3}-44.48668
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-14.87843{col 31}{space 2} 1.582661{col 42}{space 1}   -9.40{col 51}{space 3}0.000{col 59}{space 4}-17.98039{col 72}{space 3}-11.77647
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2} 4.448764{col 31}{space 2} .9215936{col 42}{space 1}    4.83{col 51}{space 3}0.000{col 59}{space 4} 2.642474{col 72}{space 3} 6.255055
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}-11.22625{col 31}{space 2} .9856324{col 42}{space 1}  -11.39{col 51}{space 3}0.000{col 59}{space 4}-13.15806{col 72}{space 3} -9.29445
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-1.795147{col 31}{space 2} 4.107299{col 42}{space 1}   -0.44{col 51}{space 3}0.662{col 59}{space 4}-9.845305{col 72}{space 3}  6.25501
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2}-33.01979{col 31}{space 2} 1.968755{col 42}{space 1}  -16.77{col 51}{space 3}0.000{col 59}{space 4}-36.87848{col 72}{space 3} -29.1611
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2}-44.95692{col 31}{space 2}  3.48895{col 42}{space 1}  -12.89{col 51}{space 3}0.000{col 59}{space 4}-51.79514{col 72}{space 3} -38.1187
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2}-61.58113{col 31}{space 2} 5.732528{col 42}{space 1}  -10.74{col 51}{space 3}0.000{col 59}{space 4}-72.81668{col 72}{space 3}-50.34558
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} 38.93786{col 31}{space 2} 2.613738{col 42}{space 1}   14.90{col 51}{space 3}0.000{col 59}{space 4} 33.81503{col 72}{space 3} 44.06069
{txt}{space 14}38  {c |}{col 19}{res}{space 2} 109.4026{col 31}{space 2} 8.354307{col 42}{space 1}   13.10{col 51}{space 3}0.000{col 59}{space 4} 93.02843{col 72}{space 3} 125.7767
{txt}{space 14}51  {c |}{col 19}{res}{space 2}-55.60772{col 31}{space 2} 3.525544{col 42}{space 1}  -15.77{col 51}{space 3}0.000{col 59}{space 4}-62.51766{col 72}{space 3}-48.69778
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 15.33536{col 31}{space 2} 3.792931{col 42}{space 1}    4.04{col 51}{space 3}0.000{col 59}{space 4} 7.901354{col 72}{space 3} 22.76937
{txt}{space 14}69  {c |}{col 19}{res}{space 2} 126.9616{col 31}{space 2} 7.997816{col 42}{space 1}   15.87{col 51}{space 3}0.000{col 59}{space 4} 111.2862{col 72}{space 3} 142.6371
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-6.753287{col 31}{space 2} 2.192168{col 42}{space 1}   -3.08{col 51}{space 3}0.002{col 59}{space 4}-11.04986{col 72}{space 3}-2.456716
{txt}{space 14}78  {c |}{col 19}{res}{space 2}-22.77674{col 31}{space 2} 1.297146{col 42}{space 1}  -17.56{col 51}{space 3}0.000{col 59}{space 4} -25.3191{col 72}{space 3}-20.23438
{txt}{space 14}82  {c |}{col 19}{res}{space 2}-3.748192{col 31}{space 2} 3.188671{col 42}{space 1}   -1.18{col 51}{space 3}0.240{col 59}{space 4}-9.997872{col 72}{space 3} 2.501489
{txt}{space 14}85  {c |}{col 19}{res}{space 2} .1225754{col 31}{space 2} 3.850808{col 42}{space 1}    0.03{col 51}{space 3}0.975{col 59}{space 4} -7.42487{col 72}{space 3}  7.67002
{txt}{space 14}98  {c |}{col 19}{res}{space 2}-22.70733{col 31}{space 2} 3.033075{col 42}{space 1}   -7.49{col 51}{space 3}0.000{col 59}{space 4}-28.65205{col 72}{space 3}-16.76262
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2}-64.67193{col 31}{space 2} 3.414817{col 42}{space 1}  -18.94{col 51}{space 3}0.000{col 59}{space 4}-71.36485{col 72}{space 3}-57.97901
{txt}{space 13}141  {c |}{col 19}{res}{space 2} -33.2983{col 31}{space 2} 3.881983{col 42}{space 1}   -8.58{col 51}{space 3}0.000{col 59}{space 4}-40.90685{col 72}{space 3}-25.68976
{txt}{space 13}147  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2} 36.30294{col 31}{space 2} 3.983197{col 42}{space 1}    9.11{col 51}{space 3}0.000{col 59}{space 4} 28.49602{col 72}{space 3} 44.10987
{txt}{space 13}154  {c |}{col 19}{res}{space 2} 107.5123{col 31}{space 2}  6.62328{col 42}{space 1}   16.23{col 51}{space 3}0.000{col 59}{space 4} 94.53089{col 72}{space 3} 120.4937
{txt}{space 13}159  {c |}{col 19}{res}{space 2} 12.86415{col 31}{space 2} 2.266529{col 42}{space 1}    5.68{col 51}{space 3}0.000{col 59}{space 4} 8.421838{col 72}{space 3} 17.30647
{txt}{space 13}170  {c |}{col 19}{res}{space 2}-88.02176{col 31}{space 2} 5.418144{col 42}{space 1}  -16.25{col 51}{space 3}0.000{col 59}{space 4}-98.64112{col 72}{space 3}-77.40239
{txt}{space 13}174  {c |}{col 19}{res}{space 2}-54.88374{col 31}{space 2} 4.835484{col 42}{space 1}  -11.35{col 51}{space 3}0.000{col 59}{space 4}-64.36112{col 72}{space 3}-45.40637
{txt}{space 13}180  {c |}{col 19}{res}{space 2} 18.92362{col 31}{space 2} 3.269377{col 42}{space 1}    5.79{col 51}{space 3}0.000{col 59}{space 4} 12.51575{col 72}{space 3} 25.33148
{txt}{space 13}182  {c |}{col 19}{res}{space 2} 20.70351{col 31}{space 2} 3.866963{col 42}{space 1}    5.35{col 51}{space 3}0.000{col 59}{space 4} 13.12441{col 72}{space 3} 28.28262
{txt}{space 13}184  {c |}{col 19}{res}{space 2}-9.377916{col 31}{space 2} 1.262673{col 42}{space 1}   -7.43{col 51}{space 3}0.000{col 59}{space 4}-11.85271{col 72}{space 3}-6.903121
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}196  {c |}{col 19}{res}{space 2} 34.19114{col 31}{space 2} 3.329282{col 42}{space 1}   10.27{col 51}{space 3}0.000{col 59}{space 4} 27.66586{col 72}{space 3} 40.71641
{txt}{space 13}200  {c |}{col 19}{res}{space 2} -115.205{col 31}{space 2} 6.565991{col 42}{space 1}  -17.55{col 51}{space 3}0.000{col 59}{space 4}-128.0741{col 72}{space 3}-102.3359
{txt}{space 13}203  {c |}{col 19}{res}{space 2}-107.7643{col 31}{space 2} 6.175854{col 42}{space 1}  -17.45{col 51}{space 3}0.000{col 59}{space 4}-119.8687{col 72}{space 3}-95.65984
{txt}{space 13}205  {c |}{col 19}{res}{space 2} -41.4062{col 31}{space 2} 2.496684{col 42}{space 1}  -16.58{col 51}{space 3}0.000{col 59}{space 4}-46.29961{col 72}{space 3}-36.51279
{txt}{space 13}209  {c |}{col 19}{res}{space 2}-39.84433{col 31}{space 2} 2.230472{col 42}{space 1}  -17.86{col 51}{space 3}0.000{col 59}{space 4}-44.21597{col 72}{space 3}-35.47268
{txt}{space 13}217  {c |}{col 19}{res}{space 2} 7.788354{col 31}{space 2} 3.105284{col 42}{space 1}    2.51{col 51}{space 3}0.012{col 59}{space 4}  1.70211{col 72}{space 3}  13.8746
{txt}{space 13}219  {c |}{col 19}{res}{space 2} 9.845345{col 31}{space 2} 3.241356{col 42}{space 1}    3.04{col 51}{space 3}0.002{col 59}{space 4} 3.492403{col 72}{space 3} 16.19829
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{txt}{space 13}227  {c |}{col 19}{res}{space 2}-58.12694{col 31}{space 2} 3.303934{col 42}{space 1}  -17.59{col 51}{space 3}0.000{col 59}{space 4}-64.60253{col 72}{space 3}-51.65135
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{txt}{space 13}336  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}341  {c |}{col 19}{res}{space 2}-42.44834{col 31}{space 2} 2.579068{col 42}{space 1}  -16.46{col 51}{space 3}0.000{col 59}{space 4}-47.50322{col 72}{space 3}-37.39346
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{txt}{space 13}351  {c |}{col 19}{res}{space 2} 32.73344{col 31}{space 2} 5.224064{col 42}{space 1}    6.27{col 51}{space 3}0.000{col 59}{space 4} 22.49446{col 72}{space 3} 42.97242
{txt}{space 13}354  {c |}{col 19}{res}{space 2} 96.88754{col 31}{space 2} 6.705828{col 42}{space 1}   14.45{col 51}{space 3}0.000{col 59}{space 4} 83.74436{col 72}{space 3} 110.0307
{txt}{space 13}357  {c |}{col 19}{res}{space 2} 114.8539{col 31}{space 2} 8.155988{col 42}{space 1}   14.08{col 51}{space 3}0.000{col 59}{space 4} 98.86842{col 72}{space 3} 130.8393
{txt}{space 13}362  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}365  {c |}{col 19}{res}{space 2} 103.1872{col 31}{space 2} 7.806673{col 42}{space 1}   13.22{col 51}{space 3}0.000{col 59}{space 4} 87.88637{col 72}{space 3}  118.488
{txt}{space 13}367  {c |}{col 19}{res}{space 2} 126.4724{col 31}{space 2} 8.492256{col 42}{space 1}   14.89{col 51}{space 3}0.000{col 59}{space 4} 109.8279{col 72}{space 3}  143.117
{txt}{space 13}376  {c |}{col 19}{res}{space 2}-.1081454{col 31}{space 2} 1.767099{col 42}{space 1}   -0.06{col 51}{space 3}0.951{col 59}{space 4}-3.571596{col 72}{space 3} 3.355305
{txt}{space 13}380  {c |}{col 19}{res}{space 2}-34.53629{col 31}{space 2} 2.633511{col 42}{space 1}  -13.11{col 51}{space 3}0.000{col 59}{space 4}-39.69788{col 72}{space 3} -29.3747
{txt}{space 13}387  {c |}{col 19}{res}{space 2} 48.03066{col 31}{space 2}  4.32945{col 42}{space 1}   11.09{col 51}{space 3}0.000{col 59}{space 4} 39.54509{col 72}{space 3} 56.51622
{txt}{space 13}390  {c |}{col 19}{res}{space 2} 7.748828{col 31}{space 2} 2.008397{col 42}{space 1}    3.86{col 51}{space 3}0.000{col 59}{space 4} 3.812443{col 72}{space 3} 11.68521
{txt}{space 13}393  {c |}{col 19}{res}{space 2} 31.90685{col 31}{space 2} 1.880578{col 42}{space 1}   16.97{col 51}{space 3}0.000{col 59}{space 4} 28.22098{col 72}{space 3} 35.59271
{txt}{space 13}395  {c |}{col 19}{res}{space 2} 45.80866{col 31}{space 2} 1.968439{col 42}{space 1}   23.27{col 51}{space 3}0.000{col 59}{space 4} 41.95059{col 72}{space 3} 49.66673
{txt}{space 13}398  {c |}{col 19}{res}{space 2}-17.56337{col 31}{space 2} 3.863614{col 42}{space 1}   -4.55{col 51}{space 3}0.000{col 59}{space 4}-25.13591{col 72}{space 3}-9.990822
{txt}{space 13}401  {c |}{col 19}{res}{space 2} 23.93574{col 31}{space 2} 1.346082{col 42}{space 1}   17.78{col 51}{space 3}0.000{col 59}{space 4} 21.29747{col 72}{space 3} 26.57401
{txt}{space 13}402  {c |}{col 19}{res}{space 2}  102.581{col 31}{space 2} 4.822543{col 42}{space 1}   21.27{col 51}{space 3}0.000{col 59}{space 4} 93.12903{col 72}{space 3} 112.0331
{txt}{space 13}409  {c |}{col 19}{res}{space 2}-11.74887{col 31}{space 2} 1.084166{col 42}{space 1}  -10.84{col 51}{space 3}0.000{col 59}{space 4}-13.87379{col 72}{space 3}-9.623939
{txt}{space 13}411  {c |}{col 19}{res}{space 2}-10.26556{col 31}{space 2} 2.070475{col 42}{space 1}   -4.96{col 51}{space 3}0.000{col 59}{space 4}-14.32362{col 72}{space 3}-6.207506
{txt}{space 13}417  {c |}{col 19}{res}{space 2} -11.5973{col 31}{space 2} 2.762529{col 42}{space 1}   -4.20{col 51}{space 3}0.000{col 59}{space 4}-17.01176{col 72}{space 3}-6.182844
{txt}{space 13}419  {c |}{col 19}{res}{space 2}-64.85488{col 31}{space 2} 3.515628{col 42}{space 1}  -18.45{col 51}{space 3}0.000{col 59}{space 4}-71.74539{col 72}{space 3}-57.96438
{txt}{space 13}428  {c |}{col 19}{res}{space 2} 51.72303{col 31}{space 2} 2.162428{col 42}{space 1}   23.92{col 51}{space 3}0.000{col 59}{space 4} 47.48475{col 72}{space 3} 55.96131
{txt}{space 13}436  {c |}{col 19}{res}{space 2} 30.68866{col 31}{space 2} 2.255374{col 42}{space 1}   13.61{col 51}{space 3}0.000{col 59}{space 4} 26.26821{col 72}{space 3} 35.10911
{txt}{space 13}439  {c |}{col 19}{res}{space 2}  11.1798{col 31}{space 2} .6695863{col 42}{space 1}   16.70{col 51}{space 3}0.000{col 59}{space 4} 9.867432{col 72}{space 3} 12.49216
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{txt}{space 13}474  {c |}{col 19}{res}{space 2} 87.98686{col 31}{space 2} 6.236375{col 42}{space 1}   14.11{col 51}{space 3}0.000{col 59}{space 4} 75.76379{col 72}{space 3} 100.2099
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{txt}{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}525  {c |}{col 19}{res}{space 2} -32.5828{col 31}{space 2} 1.558505{col 42}{space 1}  -20.91{col 51}{space 3}0.000{col 59}{space 4}-35.63741{col 72}{space 3}-29.52818
{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 420.9554{col 31}{space 2} 18.69355{col 42}{space 1}   22.52{col 51}{space 3}0.000{col 59}{space 4} 384.3167{col 72}{space 3} 457.5941
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,506{col 51}{txt}missing .:  {res}0{txt}/{res}15,492

{txt}{col 19}mean:{res}{col 26} 27417.2
{txt}{col 15}std. dev:{res}{col 26} 16165.2

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    5113{col 37}   13274{col 47} 27163.5{col 57}   41537{col 67}   49826

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}15,492

{txt}{col 19}mean:{res}{col 26}  479.74
{txt}{col 15}std. dev:{res}{col 26} 221.179

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      95{col 37}     365{col 47}     451{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}90{col 51}{txt}missing .:  {res}0{txt}/{res}15,492

{txt}{col 19}mean:{res}{col 26} 282.688
{txt}{col 15}std. dev:{res}{col 26} 138.865

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. *** TSCS Models ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. *** Model 3 ***
. 
. logit major_frev $ind mean_reshuf i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 228 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 144 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6403.7551}  
Iteration 1:{space 3}log likelihood = {res:-6119.1553}  
Iteration 2:{space 3}log likelihood = {res:-5839.1328}  
Iteration 3:{space 3}log likelihood = {res:-5829.3223}  
Iteration 4:{space 3}log likelihood = {res:-5792.0048}  
Iteration 5:{space 3}log likelihood = {res:-5791.9749}  
Iteration 6:{space 3}log likelihood = {res:-5791.9741}  (backed up)
Iteration 7:{space 3}log likelihood = {res:-5791.9737}  (backed up)
Iteration 8:{space 3}log likelihood = {res:-5791.9736}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-5791.9736}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-5791.9736}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-5791.9736}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-5791.9736}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-5791.9736}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-5612.5664}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-5609.4937}  
Iteration 16:{space 2}log likelihood = {res:-5609.2917}  
Iteration 17:{space 2}log likelihood = {res:-5609.2917}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   196,369
{txt}{col 49}LR chi2({res}94{txt}){col 67}= {res}   1588.93
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5609.2917{txt}{col 49}Pseudo R2{col 67}= {res}    0.1241

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2}  1.15415{col 29}{space 2} .1483743{col 40}{space 1}    7.78{col 49}{space 3}0.000{col 57}{space 4} .8633418{col 70}{space 3} 1.444958
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.1460353{col 29}{space 2} .0140725{col 40}{space 1}  -10.38{col 49}{space 3}0.000{col 57}{space 4}-.1736169{col 70}{space 3}-.1184536
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .3043917{col 29}{space 2} .0842683{col 40}{space 1}    3.61{col 49}{space 3}0.000{col 57}{space 4} .1392289{col 70}{space 3} .4695545
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.1815786{col 29}{space 2} .1672033{col 40}{space 1}   -1.09{col 49}{space 3}0.277{col 57}{space 4} -.509291{col 70}{space 3} .1461338
{txt}{space 4}mean_reshuf {c |}{col 17}{res}{space 2} -2.44735{col 29}{space 2} .3015365{col 40}{space 1}   -8.12{col 49}{space 3}0.000{col 57}{space 4} -3.03835{col 70}{space 3}-1.856349
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}11  {c |}{col 17}{res}{space 2}-.5959039{col 29}{space 2} .5580257{col 40}{space 1}   -1.07{col 49}{space 3}0.286{col 57}{space 4}-1.689614{col 70}{space 3} .4978064
{txt}{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} 1.618314{col 29}{space 2} .5080322{col 40}{space 1}    3.19{col 49}{space 3}0.001{col 57}{space 4} .6225895{col 70}{space 3} 2.614039
{txt}{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}36  {c |}{col 17}{res}{space 2} .2429943{col 29}{space 2} .4890095{col 40}{space 1}    0.50{col 49}{space 3}0.619{col 57}{space 4}-.7154467{col 70}{space 3} 1.201435
{txt}{space 12}38  {c |}{col 17}{res}{space 2} -.287108{col 29}{space 2}  .693162{col 40}{space 1}   -0.41{col 49}{space 3}0.679{col 57}{space 4}-1.645681{col 70}{space 3} 1.071464
{txt}{space 12}51  {c |}{col 17}{res}{space 2} .2450912{col 29}{space 2} .4599033{col 40}{space 1}    0.53{col 49}{space 3}0.594{col 57}{space 4}-.6563027{col 70}{space 3} 1.146485
{txt}{space 12}62  {c |}{col 17}{res}{space 2}-1.389345{col 29}{space 2} .4770756{col 40}{space 1}   -2.91{col 49}{space 3}0.004{col 57}{space 4}-2.324396{col 70}{space 3}-.4542939
{txt}{space 12}69  {c |}{col 17}{res}{space 2}-.1037953{col 29}{space 2} .4412485{col 40}{space 1}   -0.24{col 49}{space 3}0.814{col 57}{space 4}-.9686265{col 70}{space 3} .7610358
{txt}{space 12}71  {c |}{col 17}{res}{space 2}-.6089967{col 29}{space 2} .5362298{col 40}{space 1}   -1.14{col 49}{space 3}0.256{col 57}{space 4}-1.659988{col 70}{space 3} .4419944
{txt}{space 12}78  {c |}{col 17}{res}{space 2}-.6270035{col 29}{space 2} .6281657{col 40}{space 1}   -1.00{col 49}{space 3}0.318{col 57}{space 4}-1.858186{col 70}{space 3} .6041785
{txt}{space 12}82  {c |}{col 17}{res}{space 2} 1.831804{col 29}{space 2} .4569906{col 40}{space 1}    4.01{col 49}{space 3}0.000{col 57}{space 4}  .936119{col 70}{space 3} 2.727489
{txt}{space 12}85  {c |}{col 17}{res}{space 2}-.7316731{col 29}{space 2} .6914952{col 40}{space 1}   -1.06{col 49}{space 3}0.290{col 57}{space 4}-2.086979{col 70}{space 3} .6236326
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-5.709077{col 29}{space 2}  .408503{col 40}{space 1}  -13.98{col 49}{space 3}0.000{col 57}{space 4}-6.509728{col 70}{space 3}-4.908426
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,531{col 51}{txt}missing .:  {res}0{txt}/{res}196,369

{txt}{col 19}mean:{res}{col 26} 27413.8
{txt}{col 15}std. dev:{res}{col 26} 15691.9

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6415{col 37}   14014{col 47}   26628{col 57}   41355{col 67}   49674

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}196,369

{txt}{col 19}mean:{res}{col 26} 426.307
{txt}{col 15}std. dev:{res}{col 26} 237.613

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     616{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}90{col 51}{txt}missing .:  {res}0{txt}/{res}196,369

{txt}{col 19}mean:{res}{col 26} 286.106
{txt}{col 15}std. dev:{res}{col 26} 135.483

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     310{col 57}     398{col 67}     436
{txt}
{com}. 
. *** Model 4 ***
. 
. logit major_frev $ind mean_reshuf $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -6092.128}  
Iteration 1:{space 3}log likelihood = {res:-5494.7794}  
Iteration 2:{space 3}log likelihood = {res:-4803.1221}  
Iteration 3:{space 3}log likelihood = {res:-4489.0781}  
Iteration 4:{space 3}log likelihood = {res: -4467.166}  
Iteration 5:{space 3}log likelihood = {res:-4430.7365}  
Iteration 6:{space 3}log likelihood = {res:-4430.7363}  
Iteration 7:{space 3}log likelihood = {res:-4430.7362}  
Iteration 8:{space 3}log likelihood = {res:-4430.7362}  
Iteration 9:{space 3}log likelihood = {res:-4430.7362}  
Iteration 10:{space 2}log likelihood = {res:-4430.7362}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4430.7362}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4430.7362}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4430.7362}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4430.7362}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4430.7362}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4369.1419}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4343.4564}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4286.1063}  (backed up)
Iteration 19:{space 2}log likelihood = {res:-4282.5739}  
Iteration 20:{space 2}log likelihood = {res:-4280.7823}  
Iteration 21:{space 2}log likelihood = {res:-4280.7713}  
Iteration 22:{space 2}log likelihood = {res:-4280.7713}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   194,215
{txt}{col 49}LR chi2({res}95{txt}){col 67}= {res}   3622.71
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4280.7713{txt}{col 49}Pseudo R2{col 67}= {res}    0.2973

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.203422{col 29}{space 2} .1566543{col 40}{space 1}    7.68{col 49}{space 3}0.000{col 57}{space 4} .8963856{col 70}{space 3} 1.510459
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.1067008{col 29}{space 2} .0137245{col 40}{space 1}   -7.77{col 49}{space 3}0.000{col 57}{space 4}-.1336004{col 70}{space 3}-.0798013
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .2312209{col 29}{space 2} .0892767{col 40}{space 1}    2.59{col 49}{space 3}0.010{col 57}{space 4} .0562417{col 70}{space 3} .4062001
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{txt}{space 11}yr_t {c |}{col 17}{res}{space 2}-.1132763{col 29}{space 2} .0155333{col 40}{space 1}   -7.29{col 49}{space 3}0.000{col 57}{space 4} -.143721{col 70}{space 3}-.0828316
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.1834078{col 29}{space 2} .0084372{col 40}{space 1}  -21.74{col 49}{space 3}0.000{col 57}{space 4}-.1999443{col 70}{space 3}-.1668712
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{txt}{space 11}525  {c |}{col 17}{res}{space 2}-.7201755{col 29}{space 2} 1.162569{col 40}{space 1}   -0.62{col 49}{space 3}0.536{col 57}{space 4}-2.998768{col 70}{space 3} 1.558417
{txt}{space 11}527  {c |}{col 17}{res}{space 2} .7605193{col 29}{space 2}  .698427{col 40}{space 1}    1.09{col 49}{space 3}0.276{col 57}{space 4}-.6083723{col 70}{space 3} 2.129411
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.120935{col 29}{space 2}  .604578{col 40}{space 1}   -6.82{col 49}{space 3}0.000{col 57}{space 4}-5.305886{col 70}{space 3}-2.935984
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 11 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,419{col 51}{txt}missing .:  {res}0{txt}/{res}194,215

{txt}{col 19}mean:{res}{col 26} 27423.6
{txt}{col 15}std. dev:{res}{col 26} 15669.5

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6455{col 37}   14047{col 47}   26614{col 57}   41355{col 67}   49667

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}194,215

{txt}{col 19}mean:{res}{col 26} 423.383
{txt}{col 15}std. dev:{res}{col 26}   236.7

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}194,215

{txt}{col 19}mean:{res}{col 26} 287.793
{txt}{col 15}std. dev:{res}{col 26} 134.379

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     310{col 57}     398{col 67}     439
{txt}
{com}. 
. *** Model 5 ***
. 
. logit major_frev $ind mean_reshuf female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6089.2486}  
Iteration 1:{space 3}log likelihood = {res:-5449.7848}  
Iteration 2:{space 3}log likelihood = {res: -4771.809}  
Iteration 3:{space 3}log likelihood = {res:-4474.4182}  
Iteration 4:{space 3}log likelihood = {res:-4450.7421}  
Iteration 5:{space 3}log likelihood = {res:-4413.4579}  
Iteration 6:{space 3}log likelihood = {res:-4413.4526}  
Iteration 7:{space 3}log likelihood = {res:-4413.4524}  
Iteration 8:{space 3}log likelihood = {res:-4413.4523}  
Iteration 9:{space 3}log likelihood = {res:-4413.4523}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-4413.4523}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4413.4523}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4303.5884}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4263.6879}  
Iteration 14:{space 2}log likelihood = {res:-4263.4411}  
Iteration 15:{space 2}log likelihood = {res:-4263.4409}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   193,639
{txt}{col 49}LR chi2({res}101{txt}){col 67}= {res}   3651.62
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4263.4409{txt}{col 49}Pseudo R2{col 67}= {res}    0.2998

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 1.193029{col 31}{space 2} .1568267{col 42}{space 1}    7.61{col 51}{space 3}0.000{col 59}{space 4} .8856538{col 72}{space 3} 1.500403
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2} -.106405{col 31}{space 2} .0137192{col 42}{space 1}   -7.76{col 51}{space 3}0.000{col 59}{space 4}-.1332941{col 72}{space 3}-.0795159
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2360584{col 31}{space 2} .0896906{col 42}{space 1}    2.63{col 51}{space 3}0.008{col 59}{space 4}  .060268{col 72}{space 3} .4118489
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2} -.192942{col 31}{space 2} .1811271{col 42}{space 1}   -1.07{col 51}{space 3}0.287{col 59}{space 4}-.5479447{col 72}{space 3} .1620606
{txt}{space 6}mean_reshuf {c |}{col 19}{res}{space 2}-1.350575{col 31}{space 2}  .378136{col 42}{space 1}   -3.57{col 51}{space 3}0.000{col 59}{space 4}-2.091708{col 72}{space 3}-.6094419
{txt}{space 11}female {c |}{col 19}{res}{space 2} .1091163{col 31}{space 2} .1279495{col 42}{space 1}    0.85{col 51}{space 3}0.394{col 59}{space 4}-.1416601{col 72}{space 3} .3598927
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2}-.7082723{col 31}{space 2} .2163855{col 42}{space 1}   -3.27{col 51}{space 3}0.001{col 59}{space 4} -1.13238{col 72}{space 3}-.2841646
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2}-.1447989{col 31}{space 2} .2197224{col 42}{space 1}   -0.66{col 51}{space 3}0.510{col 59}{space 4}-.5754469{col 72}{space 3} .2858491
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-3.757183{col 31}{space 2} 2.570394{col 42}{space 1}   -1.46{col 51}{space 3}0.144{col 59}{space 4}-8.795063{col 72}{space 3} 1.280696
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-1.669711{col 31}{space 2} .7642336{col 42}{space 1}   -2.18{col 51}{space 3}0.029{col 59}{space 4}-3.167582{col 72}{space 3}-.1718409
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}-2.346776{col 31}{space 2} .7243777{col 42}{space 1}   -3.24{col 51}{space 3}0.001{col 59}{space 4} -3.76653{col 72}{space 3}-.9270218
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2} 1.722234{col 31}{space 2}  .445174{col 42}{space 1}    3.87{col 51}{space 3}0.000{col 59}{space 4} .8497091{col 72}{space 3} 2.594759
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-2.373575{col 31}{space 2} .6384468{col 42}{space 1}   -3.72{col 51}{space 3}0.000{col 59}{space 4}-3.624907{col 72}{space 3}-1.122242
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} .8429223{col 31}{space 2} 1.113209{col 42}{space 1}    0.76{col 51}{space 3}0.449{col 59}{space 4}-1.338927{col 72}{space 3} 3.024771
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2}-.1626419{col 31}{space 2} .0319013{col 42}{space 1}   -5.10{col 51}{space 3}0.000{col 59}{space 4}-.2251673{col 72}{space 3}-.1001166
{txt}{space 4}yr_since_exit {c |}{col 19}{res}{space 2}-.1825676{col 31}{space 2} .0084286{col 42}{space 1}  -21.66{col 51}{space 3}0.000{col 59}{space 4}-.1990875{col 72}{space 3}-.1660478
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2} .5007851{col 31}{space 2} 1.791455{col 42}{space 1}    0.28{col 51}{space 3}0.780{col 59}{space 4}-3.010402{col 72}{space 3} 4.011972
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2} .5869088{col 31}{space 2} 2.717182{col 42}{space 1}    0.22{col 51}{space 3}0.829{col 59}{space 4} -4.73867{col 72}{space 3} 5.912488
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} .7854009{col 31}{space 2} 1.395475{col 42}{space 1}    0.56{col 51}{space 3}0.574{col 59}{space 4}-1.949679{col 72}{space 3} 3.520481
{txt}{space 14}38  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}51  {c |}{col 19}{res}{space 2} 4.520855{col 31}{space 2} 2.238177{col 42}{space 1}    2.02{col 51}{space 3}0.043{col 59}{space 4} .1341078{col 72}{space 3} 8.907602
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 3.311878{col 31}{space 2} 1.353366{col 42}{space 1}    2.45{col 51}{space 3}0.014{col 59}{space 4}  .659329{col 72}{space 3} 5.964426
{txt}{space 14}69  {c |}{col 19}{res}{space 2} .4821546{col 31}{space 2} 4.369963{col 42}{space 1}    0.11{col 51}{space 3}0.912{col 59}{space 4}-8.082815{col 72}{space 3} 9.047124
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-.9344101{col 31}{space 2} .9046191{col 42}{space 1}   -1.03{col 51}{space 3}0.302{col 59}{space 4}-2.707431{col 72}{space 3} .8386108
{txt}{space 14}78  {c |}{col 19}{res}{space 2} 1.513988{col 31}{space 2} 1.067188{col 42}{space 1}    1.42{col 51}{space 3}0.156{col 59}{space 4}-.5776618{col 72}{space 3} 3.605638
{txt}{space 14}82  {c |}{col 19}{res}{space 2} 5.103081{col 31}{space 2} 1.445738{col 42}{space 1}    3.53{col 51}{space 3}0.000{col 59}{space 4} 2.269487{col 72}{space 3} 7.936676
{txt}{space 14}85  {c |}{col 19}{res}{space 2} 4.122531{col 31}{space 2} 1.696439{col 42}{space 1}    2.43{col 51}{space 3}0.015{col 59}{space 4}  .797571{col 72}{space 3} 7.447491
{txt}{space 14}98  {c |}{col 19}{res}{space 2} 6.429717{col 31}{space 2} 1.434976{col 42}{space 1}    4.48{col 51}{space 3}0.000{col 59}{space 4} 3.617216{col 72}{space 3} 9.242219
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2}  3.36717{col 31}{space 2} 2.085691{col 42}{space 1}    1.61{col 51}{space 3}0.106{col 59}{space 4}-.7207093{col 72}{space 3} 7.455048
{txt}{space 13}141  {c |}{col 19}{res}{space 2} 1.282543{col 31}{space 2}  2.09244{col 42}{space 1}    0.61{col 51}{space 3}0.540{col 59}{space 4}-2.818563{col 72}{space 3}  5.38365
{txt}{space 13}147  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2} 1.199624{col 31}{space 2} 1.564691{col 42}{space 1}    0.77{col 51}{space 3}0.443{col 59}{space 4}-1.867114{col 72}{space 3} 4.266361
{txt}{space 13}154  {c |}{col 19}{res}{space 2}-1.599878{col 31}{space 2} 4.007061{col 42}{space 1}   -0.40{col 51}{space 3}0.690{col 59}{space 4}-9.453574{col 72}{space 3} 6.253818
{txt}{space 13}159  {c |}{col 19}{res}{space 2} 2.770001{col 31}{space 2} 1.271362{col 42}{space 1}    2.18{col 51}{space 3}0.029{col 59}{space 4} .2781767{col 72}{space 3} 5.261825
{txt}{space 13}170  {c |}{col 19}{res}{space 2} 4.609052{col 31}{space 2} 3.086774{col 42}{space 1}    1.49{col 51}{space 3}0.135{col 59}{space 4}-1.440914{col 72}{space 3} 10.65902
{txt}{space 13}174  {c |}{col 19}{res}{space 2} .2683734{col 31}{space 2}  2.47803{col 42}{space 1}    0.11{col 51}{space 3}0.914{col 59}{space 4}-4.588476{col 72}{space 3} 5.125223
{txt}{space 13}180  {c |}{col 19}{res}{space 2} 3.507107{col 31}{space 2} 1.640413{col 42}{space 1}    2.14{col 51}{space 3}0.033{col 59}{space 4} .2919564{col 72}{space 3} 6.722257
{txt}{space 13}182  {c |}{col 19}{res}{space 2} 1.315961{col 31}{space 2} 2.022823{col 42}{space 1}    0.65{col 51}{space 3}0.515{col 59}{space 4}  -2.6487{col 72}{space 3} 5.280621
{txt}{space 13}184  {c |}{col 19}{res}{space 2} .6256055{col 31}{space 2} .9315121{col 42}{space 1}    0.67{col 51}{space 3}0.502{col 59}{space 4}-1.200125{col 72}{space 3} 2.451336
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}196  {c |}{col 19}{res}{space 2}  .655009{col 31}{space 2} 1.811112{col 42}{space 1}    0.36{col 51}{space 3}0.718{col 59}{space 4}-2.894706{col 72}{space 3} 4.204724
{txt}{space 13}200  {c |}{col 19}{res}{space 2} 3.100883{col 31}{space 2} 3.954829{col 42}{space 1}    0.78{col 51}{space 3}0.433{col 59}{space 4}-4.650441{col 72}{space 3} 10.85221
{txt}{space 13}203  {c |}{col 19}{res}{space 2} 6.058898{col 31}{space 2} 3.735371{col 42}{space 1}    1.62{col 51}{space 3}0.105{col 59}{space 4}-1.262295{col 72}{space 3} 13.38009
{txt}{space 13}205  {c |}{col 19}{res}{space 2} 6.597984{col 31}{space 2} 1.530684{col 42}{space 1}    4.31{col 51}{space 3}0.000{col 59}{space 4} 3.597898{col 72}{space 3} 9.598069
{txt}{space 13}209  {c |}{col 19}{res}{space 2}  2.08606{col 31}{space 2} 1.529142{col 42}{space 1}    1.36{col 51}{space 3}0.173{col 59}{space 4}-.9110036{col 72}{space 3} 5.083124
{txt}{space 13}217  {c |}{col 19}{res}{space 2} 1.956689{col 31}{space 2} 1.736539{col 42}{space 1}    1.13{col 51}{space 3}0.260{col 59}{space 4}-1.446866{col 72}{space 3} 5.360243
{txt}{space 13}219  {c |}{col 19}{res}{space 2} 2.664388{col 31}{space 2} 1.594118{col 42}{space 1}    1.67{col 51}{space 3}0.095{col 59}{space 4}-.4600263{col 72}{space 3} 5.788802
{txt}{space 13}222  {c |}{col 19}{res}{space 2} 2.953457{col 31}{space 2} 1.642368{col 42}{space 1}    1.80{col 51}{space 3}0.072{col 59}{space 4}-.2655249{col 72}{space 3} 6.172439
{txt}{space 13}227  {c |}{col 19}{res}{space 2} 4.618255{col 31}{space 2}  1.98318{col 42}{space 1}    2.33{col 51}{space 3}0.020{col 59}{space 4} .7312944{col 72}{space 3} 8.505216
{txt}{space 13}229  {c |}{col 19}{res}{space 2} 4.261887{col 31}{space 2} 1.184271{col 42}{space 1}    3.60{col 51}{space 3}0.000{col 59}{space 4}  1.94076{col 72}{space 3} 6.583015
{txt}{space 13}232  {c |}{col 19}{res}{space 2}-1.344152{col 31}{space 2} .7731361{col 42}{space 1}   -1.74{col 51}{space 3}0.082{col 59}{space 4}-2.859471{col 72}{space 3} .1711665
{txt}{space 13}238  {c |}{col 19}{res}{space 2}-2.903669{col 31}{space 2}  3.01936{col 42}{space 1}   -0.96{col 51}{space 3}0.336{col 59}{space 4}-8.821506{col 72}{space 3} 3.014168
{txt}{space 13}248  {c |}{col 19}{res}{space 2}-3.511024{col 31}{space 2} 1.421156{col 42}{space 1}   -2.47{col 51}{space 3}0.013{col 59}{space 4} -6.29644{col 72}{space 3}-.7256089
{txt}{space 13}255  {c |}{col 19}{res}{space 2} 1.886096{col 31}{space 2} .8028781{col 42}{space 1}    2.35{col 51}{space 3}0.019{col 59}{space 4} .3124837{col 72}{space 3} 3.459708
{txt}{space 13}260  {c |}{col 19}{res}{space 2} 1.153519{col 31}{space 2} 1.048606{col 42}{space 1}    1.10{col 51}{space 3}0.271{col 59}{space 4}-.9017105{col 72}{space 3} 3.208748
{txt}{space 13}265  {c |}{col 19}{res}{space 2}-1.519378{col 31}{space 2} 3.168551{col 42}{space 1}   -0.48{col 51}{space 3}0.632{col 59}{space 4}-7.729623{col 72}{space 3} 4.690868
{txt}{space 13}270  {c |}{col 19}{res}{space 2} .5826747{col 31}{space 2} 2.099382{col 42}{space 1}    0.28{col 51}{space 3}0.781{col 59}{space 4}-3.532038{col 72}{space 3} 4.697388
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{txt}{space 13}300  {c |}{col 19}{res}{space 2} 3.675719{col 31}{space 2} 1.366807{col 42}{space 1}    2.69{col 51}{space 3}0.007{col 59}{space 4} .9968265{col 72}{space 3} 6.354611
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{txt}{space 13}306  {c |}{col 19}{res}{space 2}-1.973082{col 31}{space 2} 1.469634{col 42}{space 1}   -1.34{col 51}{space 3}0.179{col 59}{space 4}-4.853512{col 72}{space 3} .9073473
{txt}{space 13}310  {c |}{col 19}{res}{space 2} 3.884897{col 31}{space 2} 1.794268{col 42}{space 1}    2.17{col 51}{space 3}0.030{col 59}{space 4} .3681963{col 72}{space 3} 7.401599
{txt}{space 13}312  {c |}{col 19}{res}{space 2} 3.203646{col 31}{space 2} 2.211555{col 42}{space 1}    1.45{col 51}{space 3}0.147{col 59}{space 4}-1.130923{col 72}{space 3} 7.538215
{txt}{space 13}316  {c |}{col 19}{res}{space 2} 4.642704{col 31}{space 2} 1.141732{col 42}{space 1}    4.07{col 51}{space 3}0.000{col 59}{space 4} 2.404951{col 72}{space 3} 6.880458
{txt}{space 13}320  {c |}{col 19}{res}{space 2}-4.245976{col 31}{space 2} 2.403839{col 42}{space 1}   -1.77{col 51}{space 3}0.077{col 59}{space 4}-8.957413{col 72}{space 3} .4654619
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{txt}{space 13}336  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}341  {c |}{col 19}{res}{space 2} 2.417941{col 31}{space 2}  1.52468{col 42}{space 1}    1.59{col 51}{space 3}0.113{col 59}{space 4}-.5703774{col 72}{space 3}  5.40626
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{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-23.55823{col 31}{space 2}  12.5088{col 42}{space 1}   -1.88{col 51}{space 3}0.060{col 59}{space 4}-48.07502{col 72}{space 3}  .958559
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 7 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,394{col 51}{txt}missing .:  {res}0{txt}/{res}193,639

{txt}{col 19}mean:{res}{col 26} 27421.6
{txt}{col 15}std. dev:{res}{col 26} 15669.4

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6439{col 37}   14048{col 47}   26614{col 57}   41355{col 67}   49646

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}193,639

{txt}{col 19}mean:{res}{col 26} 422.915
{txt}{col 15}std. dev:{res}{col 26}  236.76

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}193,639

{txt}{col 19}mean:{res}{col 26} 287.405
{txt}{col 15}std. dev:{res}{col 26} 134.318

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     310{col 57}     398{col 67}     436
{txt}
{com}. 
. 
. *** Table A10 ***
. 
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. *** Model 1 ***
. 
. logit major_frev $ind count_pos i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 77 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 123 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3899.9914}  
Iteration 1:{space 3}log likelihood = {res:-3425.0751}  
Iteration 2:{space 3}log likelihood = {res: -3124.846}  
Iteration 3:{space 3}log likelihood = {res:-3122.3287}  (backed up)
Iteration 4:{space 3}log likelihood = {res:-3094.6697}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-3001.7752}  (backed up)
Iteration 6:{space 3}log likelihood = {res: -2956.849}  
Iteration 7:{space 3}log likelihood = {res:-2949.1322}  
Iteration 8:{space 3}log likelihood = {res:-2948.3579}  
Iteration 9:{space 3}log likelihood = {res: -2948.348}  
Iteration 10:{space 2}log likelihood = {res:-2948.3479}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,943
{txt}{col 49}LR chi2({res}95{txt}){col 67}= {res}   1903.29
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2948.3479{txt}{col 49}Pseudo R2{col 67}= {res}    0.2440

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.134903{col 29}{space 2} .1565617{col 40}{space 1}    7.25{col 49}{space 3}0.000{col 57}{space 4} .8280477{col 70}{space 3} 1.441758
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.4281235{col 29}{space 2} .0202359{col 40}{space 1}  -21.16{col 49}{space 3}0.000{col 57}{space 4}-.4677851{col 70}{space 3}-.3884619
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .1504168{col 29}{space 2} .0963207{col 40}{space 1}    1.56{col 49}{space 3}0.118{col 57}{space 4}-.0383683{col 70}{space 3} .3392018
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{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{txt}{space 11}362  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}428  {c |}{col 17}{res}{space 2}  2.09258{col 29}{space 2} .4042029{col 40}{space 1}    5.18{col 49}{space 3}0.000{col 57}{space 4} 1.300357{col 70}{space 3} 2.884804
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{txt}{space 11}527  {c |}{col 17}{res}{space 2} -.182105{col 29}{space 2} .5168508{col 40}{space 1}   -0.35{col 49}{space 3}0.725{col 57}{space 4}-1.195114{col 70}{space 3}  .830904
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.860911{col 29}{space 2} .3596792{col 40}{space 1}  -13.51{col 49}{space 3}0.000{col 57}{space 4}-5.565869{col 70}{space 3}-4.155952
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 failure and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,949{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 27424.1
{txt}{col 15}std. dev:{res}{col 26} 16185.3

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4999{col 37}   13268{col 47}   27224{col 57}   41541{col 67}   49824

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 483.969
{txt}{col 15}std. dev:{res}{col 26} 220.025

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     365{col 47}     452{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 281.177
{txt}{col 15}std. dev:{res}{col 26} 138.643

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. *** Model 2 ***
. 
. logit major_frev $ind count_pos female dem_const coldwar $pre $macro i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3897.6473}  
Iteration 1:{space 3}log likelihood = {res:-2715.1765}  
Iteration 2:{space 3}log likelihood = {res: -2500.497}  
Iteration 3:{space 3}log likelihood = {res:-2333.1658}  
Iteration 4:{space 3}log likelihood = {res:-2211.0867}  (backed up)
Iteration 5:{space 3}log likelihood = {res: -1948.084}  
Iteration 6:{space 3}log likelihood = {res: -1902.977}  
Iteration 7:{space 3}log likelihood = {res: -1885.428}  
Iteration 8:{space 3}log likelihood = {res: -1884.608}  
Iteration 9:{space 3}log likelihood = {res:-1884.6043}  
Iteration 10:{space 2}log likelihood = {res:-1884.6043}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,909
{txt}{col 49}LR chi2({res}101{txt}){col 67}= {res}   4026.09
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1884.6043{txt}{col 49}Pseudo R2{col 67}= {res}    0.5165

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 1.979029{col 31}{space 2} .2157866{col 42}{space 1}    9.17{col 51}{space 3}0.000{col 59}{space 4} 1.556095{col 72}{space 3} 2.401963
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2} -.374079{col 31}{space 2} .0229294{col 42}{space 1}  -16.31{col 51}{space 3}0.000{col 59}{space 4}-.4190198{col 72}{space 3}-.3291383
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .1124453{col 31}{space 2} .1244758{col 42}{space 1}    0.90{col 51}{space 3}0.366{col 59}{space 4}-.1315229{col 72}{space 3} .3564134
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.7132864{col 31}{space 2} .2655809{col 42}{space 1}   -2.69{col 51}{space 3}0.007{col 59}{space 4}-1.233815{col 72}{space 3}-.1927574
{txt}{space 8}count_pos {c |}{col 19}{res}{space 2} .7385953{col 31}{space 2} .0338246{col 42}{space 1}   21.84{col 51}{space 3}0.000{col 59}{space 4} .6723003{col 72}{space 3} .8048902
{txt}{space 11}female {c |}{col 19}{res}{space 2} .5883547{col 31}{space 2} .1714542{col 42}{space 1}    3.43{col 51}{space 3}0.001{col 59}{space 4} .2523106{col 72}{space 3} .9243987
{txt}{space 8}dem_const {c |}{col 19}{res}{space 2}-1.997475{col 31}{space 2} .5078355{col 42}{space 1}   -3.93{col 51}{space 3}0.000{col 59}{space 4}-2.992814{col 72}{space 3}-1.002136
{txt}{space 10}coldwar {c |}{col 19}{res}{space 2}-.2979111{col 31}{space 2} .6914921{col 42}{space 1}   -0.43{col 51}{space 3}0.667{col 59}{space 4}-1.653211{col 72}{space 3} 1.057389
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-57.24167{col 31}{space 2} 5.284343{col 42}{space 1}  -10.83{col 51}{space 3}0.000{col 59}{space 4}-67.59879{col 72}{space 3}-46.88455
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-15.19774{col 31}{space 2} 1.612724{col 42}{space 1}   -9.42{col 51}{space 3}0.000{col 59}{space 4}-18.35862{col 72}{space 3}-12.03686
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}   6.4007{col 31}{space 2} .8900343{col 42}{space 1}    7.19{col 51}{space 3}0.000{col 59}{space 4} 4.656265{col 72}{space 3} 8.145135
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}-10.04138{col 31}{space 2}  .981609{col 42}{space 1}  -10.23{col 51}{space 3}0.000{col 59}{space 4} -11.9653{col 72}{space 3}-8.117465
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-1.609238{col 31}{space 2} 3.968703{col 42}{space 1}   -0.41{col 51}{space 3}0.685{col 59}{space 4}-9.387753{col 72}{space 3} 6.169278
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2}-33.96362{col 31}{space 2} 1.934891{col 42}{space 1}  -17.55{col 51}{space 3}0.000{col 59}{space 4}-37.75594{col 72}{space 3}-30.17131
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2}-46.36765{col 31}{space 2} 3.430914{col 42}{space 1}  -13.51{col 51}{space 3}0.000{col 59}{space 4}-53.09212{col 72}{space 3}-39.64318
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2}-66.02972{col 31}{space 2} 5.631391{col 42}{space 1}  -11.73{col 51}{space 3}0.000{col 59}{space 4}-77.06704{col 72}{space 3}-54.99239
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} 38.99027{col 31}{space 2} 2.574318{col 42}{space 1}   15.15{col 51}{space 3}0.000{col 59}{space 4}  33.9447{col 72}{space 3} 44.03584
{txt}{space 14}38  {c |}{col 19}{res}{space 2} 112.9401{col 31}{space 2} 8.267269{col 42}{space 1}   13.66{col 51}{space 3}0.000{col 59}{space 4}  96.7366{col 72}{space 3} 129.1437
{txt}{space 14}51  {c |}{col 19}{res}{space 2}-57.02467{col 31}{space 2} 3.447916{col 42}{space 1}  -16.54{col 51}{space 3}0.000{col 59}{space 4}-63.78246{col 72}{space 3}-50.26688
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 18.31405{col 31}{space 2} 3.462779{col 42}{space 1}    5.29{col 51}{space 3}0.000{col 59}{space 4} 11.52713{col 72}{space 3} 25.10098
{txt}{space 14}69  {c |}{col 19}{res}{space 2}   130.58{col 31}{space 2} 7.876341{col 42}{space 1}   16.58{col 51}{space 3}0.000{col 59}{space 4} 115.1427{col 72}{space 3} 146.0174
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{txt}{space 13}336  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
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{txt}{space 13}362  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}409  {c |}{col 19}{res}{space 2} -11.4824{col 31}{space 2} 1.154942{col 42}{space 1}   -9.94{col 51}{space 3}0.000{col 59}{space 4}-13.74605{col 72}{space 3}-9.218757
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{txt}{space 13}419  {c |}{col 19}{res}{space 2} -66.6058{col 31}{space 2} 3.455073{col 42}{space 1}  -19.28{col 51}{space 3}0.000{col 59}{space 4}-73.37762{col 72}{space 3}-59.83398
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{txt}{space 13}439  {c |}{col 19}{res}{space 2} 11.01811{col 31}{space 2} .7185757{col 42}{space 1}   15.33{col 51}{space 3}0.000{col 59}{space 4} 9.609728{col 72}{space 3} 12.42649
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{txt}{space 13}474  {c |}{col 19}{res}{space 2} 90.73012{col 31}{space 2} 6.172662{col 42}{space 1}   14.70{col 51}{space 3}0.000{col 59}{space 4} 78.63193{col 72}{space 3} 102.8283
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{txt}{space 13}490  {c |}{col 19}{res}{space 2}  94.4757{col 31}{space 2} 5.792375{col 42}{space 1}   16.31{col 51}{space 3}0.000{col 59}{space 4} 83.12286{col 72}{space 3} 105.8285
{txt}{space 13}505  {c |}{col 19}{res}{space 2} 47.32411{col 31}{space 2} 1.967108{col 42}{space 1}   24.06{col 51}{space 3}0.000{col 59}{space 4} 43.46865{col 72}{space 3} 51.17957
{txt}{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}525  {c |}{col 19}{res}{space 2}-31.82603{col 31}{space 2} 1.555657{col 42}{space 1}  -20.46{col 51}{space 3}0.000{col 59}{space 4}-34.87506{col 72}{space 3}  -28.777
{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}  419.502{col 31}{space 2} 18.33985{col 42}{space 1}   22.87{col 51}{space 3}0.000{col 59}{space 4} 383.5566{col 72}{space 3} 455.4475
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 failure and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,923{col 51}{txt}missing .:  {res}0{txt}/{res}15,909

{txt}{col 19}mean:{res}{col 26} 27423.5
{txt}{col 15}std. dev:{res}{col 26} 16189.9

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4997{col 37}   13280{col 47}   27217{col 57}   41541{col 67}   49828

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}15,909

{txt}{col 19}mean:{res}{col 26} 483.845
{txt}{col 15}std. dev:{res}{col 26} 220.155

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     365{col 47}     452{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}15,909

{txt}{col 19}mean:{res}{col 26} 280.922
{txt}{col 15}std. dev:{res}{col 26} 138.597

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. *** TSCS Models ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. *** Model 3 ***
. 
. logit major_frev $ind count_pos i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 231 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 144 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6620.4189}  
Iteration 1:{space 3}log likelihood = {res:-6115.8888}  
Iteration 2:{space 3}log likelihood = {res:-5790.2072}  
Iteration 3:{space 3}log likelihood = {res:-5775.9965}  
Iteration 4:{space 3}log likelihood = {res:-5738.8995}  
Iteration 5:{space 3}log likelihood = {res:-5738.8888}  
Iteration 6:{space 3}log likelihood = {res: -5738.884}  
Iteration 7:{space 3}log likelihood = {res:-5738.8829}  (backed up)
Iteration 8:{space 3}log likelihood = {res:-5738.8824}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-5738.8821}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-5738.8819}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-5738.8819}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-5738.8819}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-5738.8819}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-5603.3708}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-5584.8234}  
Iteration 16:{space 2}log likelihood = {res:-5579.2507}  
Iteration 17:{space 2}log likelihood = {res:-5566.5533}  
Iteration 18:{space 2}log likelihood = {res:-5554.5953}  
Iteration 19:{space 2}log likelihood = {res:-5554.5452}  
Iteration 20:{space 2}log likelihood = {res:-5554.5452}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   200,668
{txt}{col 49}LR chi2({res}95{txt}){col 67}= {res}   2131.75
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5554.5452{txt}{col 49}Pseudo R2{col 67}= {res}    0.1610

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
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{txt}{space 11}478  {c |}{col 17}{res}{space 2} -1.28714{col 29}{space 2}  .775968{col 40}{space 1}   -1.66{col 49}{space 3}0.097{col 57}{space 4}-2.808009{col 70}{space 3} .2337292
{txt}{space 11}483  {c |}{col 17}{res}{space 2}-.0288972{col 29}{space 2} .4611595{col 40}{space 1}   -0.06{col 49}{space 3}0.950{col 57}{space 4}-.9327532{col 70}{space 3} .8749588
{txt}{space 11}490  {c |}{col 17}{res}{space 2}-.9190004{col 29}{space 2} .6595293{col 40}{space 1}   -1.39{col 49}{space 3}0.163{col 57}{space 4}-2.211654{col 70}{space 3} .3736532
{txt}{space 11}505  {c |}{col 17}{res}{space 2}  1.18756{col 29}{space 2} .4810273{col 40}{space 1}    2.47{col 49}{space 3}0.014{col 57}{space 4} .2447635{col 70}{space 3} 2.130356
{txt}{space 11}508  {c |}{col 17}{res}{space 2}-2.217764{col 29}{space 2} 1.049566{col 40}{space 1}   -2.11{col 49}{space 3}0.035{col 57}{space 4}-4.274875{col 70}{space 3}-.1606526
{txt}{space 11}525  {c |}{col 17}{res}{space 2}-.1266374{col 29}{space 2} .6609984{col 40}{space 1}   -0.19{col 49}{space 3}0.848{col 57}{space 4} -1.42217{col 70}{space 3} 1.168896
{txt}{space 11}527  {c |}{col 17}{res}{space 2}-.4657321{col 29}{space 2} .4946516{col 40}{space 1}   -0.94{col 49}{space 3}0.346{col 57}{space 4}-1.435231{col 70}{space 3} .5037672
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-6.099214{col 29}{space 2} .3480934{col 40}{space 1}  -17.52{col 49}{space 3}0.000{col 57}{space 4}-6.781464{col 70}{space 3}-5.416963
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,949{col 51}{txt}missing .:  {res}0{txt}/{res}200,668

{txt}{col 19}mean:{res}{col 26} 27434.1
{txt}{col 15}std. dev:{res}{col 26}   15722

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6363{col 37}   14029{col 47}   26686{col 57}   41393{col 67}   49689

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}200,668

{txt}{col 19}mean:{res}{col 26} 430.225
{txt}{col 15}std. dev:{res}{col 26} 237.275

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     235{col 47}     436{col 57}     625{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}200,668

{txt}{col 19}mean:{res}{col 26} 285.278
{txt}{col 15}std. dev:{res}{col 26} 134.696

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     304{col 57}     395{col 67}     436
{txt}
{com}. 
. *** Model 4 ***
. 
. logit major_frev $ind count_pos $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 219 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -6164.553}  
Iteration 1:{space 3}log likelihood = {res:-5379.7514}  
Iteration 2:{space 3}log likelihood = {res:-4642.4825}  
Iteration 3:{space 3}log likelihood = {res:-4347.5288}  
Iteration 4:{space 3}log likelihood = {res:-4328.1605}  
Iteration 5:{space 3}log likelihood = {res: -4291.743}  
Iteration 6:{space 3}log likelihood = {res:-4291.7428}  
Iteration 7:{space 3}log likelihood = {res:-4291.7428}  
Iteration 8:{space 3}log likelihood = {res:-4291.7428}  
Iteration 9:{space 3}log likelihood = {res:-4291.7428}  
Iteration 10:{space 2}log likelihood = {res:-4291.7428}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4291.7428}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4291.7428}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4291.7428}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4291.7428}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4291.7428}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4291.7428}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4291.7428}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4169.6832}  (backed up)
Iteration 19:{space 2}log likelihood = {res: -4146.396}  
Iteration 20:{space 2}log likelihood = {res:-4141.0647}  
Iteration 21:{space 2}log likelihood = {res: -4140.377}  
Iteration 22:{space 2}log likelihood = {res:-4140.3738}  
Iteration 23:{space 2}log likelihood = {res:-4140.3738}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,990
{txt}{col 49}LR chi2({res}95{txt}){col 67}= {res}   4048.36
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4140.3738{txt}{col 49}Pseudo R2{col 67}= {res}    0.3284

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.104299{col 29}{space 2} .1580285{col 40}{space 1}    6.99{col 49}{space 3}0.000{col 57}{space 4} .7945691{col 70}{space 3} 1.414029
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.2287907{col 29}{space 2} .0157331{col 40}{space 1}  -14.54{col 49}{space 3}0.000{col 57}{space 4} -.259627{col 70}{space 3}-.1979544
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .1198536{col 29}{space 2} .0921653{col 40}{space 1}    1.30{col 49}{space 3}0.193{col 57}{space 4} -.060787{col 70}{space 3} .3004942
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.3106718{col 29}{space 2} .1864761{col 40}{space 1}   -1.67{col 49}{space 3}0.096{col 57}{space 4}-.6761582{col 70}{space 3} .0548146
{txt}{space 6}count_pos {c |}{col 17}{res}{space 2} .3999112{col 29}{space 2} .0193176{col 40}{space 1}   20.70{col 49}{space 3}0.000{col 57}{space 4} .3620493{col 70}{space 3} .4377731
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2}-.1230585{col 29}{space 2} .0155399{col 40}{space 1}   -7.92{col 49}{space 3}0.000{col 57}{space 4}-.1535162{col 70}{space 3}-.0926008
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.1731696{col 29}{space 2}  .008111{col 40}{space 1}  -21.35{col 49}{space 3}0.000{col 57}{space 4}-.1890668{col 70}{space 3}-.1572724
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}11  {c |}{col 17}{res}{space 2} .3040952{col 29}{space 2} .6518093{col 40}{space 1}    0.47{col 49}{space 3}0.641{col 57}{space 4}-.9734275{col 70}{space 3} 1.581618
{txt}{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} 1.416855{col 29}{space 2} .6111221{col 40}{space 1}    2.32{col 49}{space 3}0.020{col 57}{space 4} .2190774{col 70}{space 3} 2.614632
{txt}{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}36  {c |}{col 17}{res}{space 2} .0478022{col 29}{space 2} .6042766{col 40}{space 1}    0.08{col 49}{space 3}0.937{col 57}{space 4}-1.136558{col 70}{space 3} 1.232163
{txt}{space 12}38  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}51  {c |}{col 17}{res}{space 2} 1.827884{col 29}{space 2}  .572229{col 40}{space 1}    3.19{col 49}{space 3}0.001{col 57}{space 4} .7063355{col 70}{space 3} 2.949432
{txt}{space 12}62  {c |}{col 17}{res}{space 2} .3526737{col 29}{space 2} .5824228{col 40}{space 1}    0.61{col 49}{space 3}0.545{col 57}{space 4} -.788854{col 70}{space 3} 1.494201
{txt}{space 12}69  {c |}{col 17}{res}{space 2} 1.603518{col 29}{space 2} .5546894{col 40}{space 1}    2.89{col 49}{space 3}0.004{col 57}{space 4} .5163466{col 70}{space 3} 2.690689
{txt}{space 12}71  {c |}{col 17}{res}{space 2} .6523583{col 29}{space 2}  .633127{col 40}{space 1}    1.03{col 49}{space 3}0.303{col 57}{space 4}-.5885478{col 70}{space 3} 1.893265
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{txt}{space 12}82  {c |}{col 17}{res}{space 2} 1.489649{col 29}{space 2} .5801967{col 40}{space 1}    2.57{col 49}{space 3}0.010{col 57}{space 4} .3524841{col 70}{space 3} 2.626813
{txt}{space 12}85  {c |}{col 17}{res}{space 2} .0531334{col 29}{space 2} .7688464{col 40}{space 1}    0.07{col 49}{space 3}0.945{col 57}{space 4}-1.453778{col 70}{space 3} 1.560045
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{txt}{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}120  {c |}{col 17}{res}{space 2} 1.649797{col 29}{space 2} .5800387{col 40}{space 1}    2.84{col 49}{space 3}0.004{col 57}{space 4} .5129423{col 70}{space 3} 2.786652
{txt}{space 11}141  {c |}{col 17}{res}{space 2} .7168791{col 29}{space 2} .6324039{col 40}{space 1}    1.13{col 49}{space 3}0.257{col 57}{space 4}-.5226098{col 70}{space 3} 1.956368
{txt}{space 11}147  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}150  {c |}{col 17}{res}{space 2} .1839899{col 29}{space 2} .7122813{col 40}{space 1}    0.26{col 49}{space 3}0.796{col 57}{space 4}-1.212056{col 70}{space 3} 1.580036
{txt}{space 11}154  {c |}{col 17}{res}{space 2} .6868741{col 29}{space 2} .7287236{col 40}{space 1}    0.94{col 49}{space 3}0.346{col 57}{space 4}-.7413978{col 70}{space 3} 2.115146
{txt}{space 11}159  {c |}{col 17}{res}{space 2} 1.101785{col 29}{space 2}  .589515{col 40}{space 1}    1.87{col 49}{space 3}0.062{col 57}{space 4}-.0536435{col 70}{space 3} 2.257213
{txt}{space 11}170  {c |}{col 17}{res}{space 2}   2.2716{col 29}{space 2} .5561173{col 40}{space 1}    4.08{col 49}{space 3}0.000{col 57}{space 4}  1.18163{col 70}{space 3}  3.36157
{txt}{space 11}174  {c |}{col 17}{res}{space 2} .3265503{col 29}{space 2} .7119644{col 40}{space 1}    0.46{col 49}{space 3}0.646{col 57}{space 4}-1.068874{col 70}{space 3} 1.721975
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{txt}{space 11}188  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.433449{col 29}{space 2}  .529132{col 40}{space 1}   -8.38{col 49}{space 3}0.000{col 57}{space 4}-5.470528{col 70}{space 3}-3.396369
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 6 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,648{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 27444.2
{txt}{col 15}std. dev:{res}{col 26} 15689.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6432{col 37}   14046{col 47}   26631{col 57}   41393{col 67}   49691

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26}  424.41
{txt}{col 15}std. dev:{res}{col 26} 236.453

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 287.018
{txt}{col 15}std. dev:{res}{col 26} 134.456

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. *** Model 5 ***
. 
. logit major_frev $ind count_pos female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6161.6342}  
Iteration 1:{space 3}log likelihood = {res:-5336.0141}  
Iteration 2:{space 3}log likelihood = {res: -4615.934}  
Iteration 3:{space 3}log likelihood = {res:-4334.0323}  
Iteration 4:{space 3}log likelihood = {res: -4311.967}  
Iteration 5:{space 3}log likelihood = {res:-4274.5778}  
Iteration 6:{space 3}log likelihood = {res:-4274.5714}  
Iteration 7:{space 3}log likelihood = {res:-4274.5711}  
Iteration 8:{space 3}log likelihood = {res: -4274.571}  
Iteration 9:{space 3}log likelihood = {res: -4274.571}  (backed up)
Iteration 10:{space 2}log likelihood = {res: -4274.571}  (backed up)
Iteration 11:{space 2}log likelihood = {res: -4274.571}  (backed up)
Iteration 12:{space 2}log likelihood = {res: -4274.571}  (backed up)
Iteration 13:{space 2}log likelihood = {res: -4274.571}  (backed up)
Iteration 14:{space 2}log likelihood = {res: -4274.571}  (backed up)
Iteration 15:{space 2}log likelihood = {res: -4274.571}  (backed up)
Iteration 16:{space 2}log likelihood = {res: -4274.571}  (backed up)
Iteration 17:{space 2}log likelihood = {res: -4274.571}  (backed up)
Iteration 18:{space 2}log likelihood = {res: -4208.191}  (backed up)
Iteration 19:{space 2}log likelihood = {res:-4127.2603}  (backed up)
Iteration 20:{space 2}log likelihood = {res:-4123.3145}  
Iteration 21:{space 2}log likelihood = {res:-4123.1431}  
Iteration 22:{space 2}log likelihood = {res:-4123.1431}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,408
{txt}{col 49}LR chi2({res}101{txt}){col 67}= {res}   4076.98
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4123.1431{txt}{col 49}Pseudo R2{col 67}= {res}    0.3308

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 1.096956{col 31}{space 2} .1582061{col 42}{space 1}    6.93{col 51}{space 3}0.000{col 59}{space 4} .7868781{col 72}{space 3} 1.407035
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.2287619{col 31}{space 2} .0157371{col 42}{space 1}  -14.54{col 51}{space 3}0.000{col 59}{space 4}-.2596061{col 72}{space 3}-.1979178
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .1272661{col 31}{space 2} .0925562{col 42}{space 1}    1.38{col 51}{space 3}0.169{col 59}{space 4}-.0541407{col 72}{space 3} .3086729
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.3063199{col 31}{space 2} .1866373{col 42}{space 1}   -1.64{col 51}{space 3}0.101{col 59}{space 4}-.6721223{col 72}{space 3} .0594825
{txt}{space 8}count_pos {c |}{col 19}{res}{space 2} .3995507{col 31}{space 2}  .019271{col 42}{space 1}   20.73{col 51}{space 3}0.000{col 59}{space 4} .3617801{col 72}{space 3} .4373212
{txt}{space 11}female {c |}{col 19}{res}{space 2} .1388442{col 31}{space 2} .1296803{col 42}{space 1}    1.07{col 51}{space 3}0.284{col 59}{space 4}-.1153245{col 72}{space 3}  .393013
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2}-.7565808{col 31}{space 2} .2232247{col 42}{space 1}   -3.39{col 51}{space 3}0.001{col 59}{space 4}-1.194093{col 72}{space 3}-.3190685
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2}-.1435845{col 31}{space 2} .2225619{col 42}{space 1}   -0.65{col 51}{space 3}0.519{col 59}{space 4}-.5797979{col 72}{space 3} .2926288
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-.7027479{col 31}{space 2} 2.676716{col 42}{space 1}   -0.26{col 51}{space 3}0.793{col 59}{space 4}-5.949014{col 72}{space 3} 4.543518
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2} .0681643{col 31}{space 2} .8282863{col 42}{space 1}    0.08{col 51}{space 3}0.934{col 59}{space 4}-1.555247{col 72}{space 3} 1.691576
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2} -.867581{col 31}{space 2} .7197163{col 42}{space 1}   -1.21{col 51}{space 3}0.228{col 59}{space 4}-2.278199{col 72}{space 3}  .543037
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2} 1.625785{col 31}{space 2} .4565652{col 42}{space 1}    3.56{col 51}{space 3}0.000{col 59}{space 4} .7309336{col 72}{space 3} 2.520636
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-2.397346{col 31}{space 2} .6447881{col 42}{space 1}   -3.72{col 51}{space 3}0.000{col 59}{space 4}-3.661108{col 72}{space 3}-1.133585
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} 1.356108{col 31}{space 2} 1.156577{col 42}{space 1}    1.17{col 51}{space 3}0.241{col 59}{space 4}-.9107412{col 72}{space 3} 3.622957
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2} -.177537{col 31}{space 2} .0327423{col 42}{space 1}   -5.42{col 51}{space 3}0.000{col 59}{space 4}-.2417106{col 72}{space 3}-.1133633
{txt}{space 4}yr_since_exit {c |}{col 19}{res}{space 2}-.1722526{col 31}{space 2} .0081059{col 42}{space 1}  -21.25{col 51}{space 3}0.000{col 59}{space 4}  -.18814{col 72}{space 3}-.1563653
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2} 1.585058{col 31}{space 2} 1.852739{col 42}{space 1}    0.86{col 51}{space 3}0.392{col 59}{space 4}-2.046243{col 72}{space 3} 5.216359
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2} 2.036142{col 31}{space 2} 2.808488{col 42}{space 1}    0.72{col 51}{space 3}0.468{col 59}{space 4}-3.468392{col 72}{space 3} 7.540677
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2}-.8319335{col 31}{space 2}  1.40715{col 42}{space 1}   -0.59{col 51}{space 3}0.554{col 59}{space 4}-3.589897{col 72}{space 3}  1.92603
{txt}{space 14}38  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 14}62  {c |}{col 19}{res}{space 2}   2.5951{col 31}{space 2} 1.376095{col 42}{space 1}    1.89{col 51}{space 3}0.059{col 59}{space 4}-.1019958{col 72}{space 3} 5.292196
{txt}{space 14}69  {c |}{col 19}{res}{space 2}-1.540807{col 31}{space 2} 4.533031{col 42}{space 1}   -0.34{col 51}{space 3}0.734{col 59}{space 4}-10.42538{col 72}{space 3} 7.343771
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-.2742026{col 31}{space 2} .9281048{col 42}{space 1}   -0.30{col 51}{space 3}0.768{col 59}{space 4}-2.093255{col 72}{space 3} 1.544849
{txt}{space 14}78  {c |}{col 19}{res}{space 2} 2.067914{col 31}{space 2} 1.045915{col 42}{space 1}    1.98{col 51}{space 3}0.048{col 59}{space 4} .0179589{col 72}{space 3}  4.11787
{txt}{space 14}82  {c |}{col 19}{res}{space 2} 4.422401{col 31}{space 2} 1.476221{col 42}{space 1}    3.00{col 51}{space 3}0.003{col 59}{space 4} 1.529062{col 72}{space 3}  7.31574
{txt}{space 14}85  {c |}{col 19}{res}{space 2} 3.179851{col 31}{space 2} 1.735247{col 42}{space 1}    1.83{col 51}{space 3}0.067{col 59}{space 4}-.2211703{col 72}{space 3} 6.580872
{txt}{space 14}98  {c |}{col 19}{res}{space 2} 5.431954{col 31}{space 2}  1.45401{col 42}{space 1}    3.74{col 51}{space 3}0.000{col 59}{space 4} 2.582147{col 72}{space 3}  8.28176
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2} 4.203289{col 31}{space 2} 2.159641{col 42}{space 1}    1.95{col 51}{space 3}0.052{col 59}{space 4}-.0295305{col 72}{space 3} 8.436108
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{txt}{space 13}147  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}154  {c |}{col 19}{res}{space 2} -3.52629{col 31}{space 2} 4.153256{col 42}{space 1}   -0.85{col 51}{space 3}0.396{col 59}{space 4}-11.66652{col 72}{space 3} 4.613943
{txt}{space 13}159  {c |}{col 19}{res}{space 2}  2.26693{col 31}{space 2}  1.29024{col 42}{space 1}    1.76{col 51}{space 3}0.079{col 59}{space 4}-.2618928{col 72}{space 3} 4.795753
{txt}{space 13}170  {c |}{col 19}{res}{space 2} 5.947657{col 31}{space 2} 3.187967{col 42}{space 1}    1.87{col 51}{space 3}0.062{col 59}{space 4}-.3006425{col 72}{space 3} 12.19596
{txt}{space 13}174  {c |}{col 19}{res}{space 2} 1.680574{col 31}{space 2} 2.551593{col 42}{space 1}    0.66{col 51}{space 3}0.510{col 59}{space 4}-3.320456{col 72}{space 3} 6.681603
{txt}{space 13}180  {c |}{col 19}{res}{space 2} 2.038602{col 31}{space 2} 1.679327{col 42}{space 1}    1.21{col 51}{space 3}0.225{col 59}{space 4}-1.252818{col 72}{space 3} 5.330022
{txt}{space 13}182  {c |}{col 19}{res}{space 2} .0890447{col 31}{space 2} 2.067427{col 42}{space 1}    0.04{col 51}{space 3}0.966{col 59}{space 4}-3.963037{col 72}{space 3} 4.141126
{txt}{space 13}184  {c |}{col 19}{res}{space 2} .6709338{col 31}{space 2} .8982124{col 42}{space 1}    0.75{col 51}{space 3}0.455{col 59}{space 4} -1.08953{col 72}{space 3} 2.431398
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{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-29.97793{col 31}{space 2} 12.94464{col 42}{space 1}   -2.32{col 51}{space 3}0.021{col 59}{space 4}-55.34896{col 72}{space 3} -4.60691
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 5 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,622{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 27442.6
{txt}{col 15}std. dev:{res}{col 26} 15689.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6431{col 37}   14048{col 47}   26631{col 57}   41393{col 67}   49689

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 423.943
{txt}{col 15}std. dev:{res}{col 26} 236.515

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 286.633
{txt}{col 15}std. dev:{res}{col 26} 134.396

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. 
. 
. *** Table A11 ***
. 
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. *** Model 1 ***
. 
. logit major_frev $ind cab_gwf_military cab_gwf_party cab_gwf_personal i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 77 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 123 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3899.9914}  
Iteration 1:{space 3}log likelihood = {res:-3581.5141}  
Iteration 2:{space 3}log likelihood = {res:-3516.8829}  
Iteration 3:{space 3}log likelihood = {res:-3446.9644}  (backed up)
Iteration 4:{space 3}log likelihood = {res:-3346.6574}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-3327.1687}  
Iteration 6:{space 3}log likelihood = {res:-3325.9962}  
Iteration 7:{space 3}log likelihood = {res:-3325.9769}  
Iteration 8:{space 3}log likelihood = {res:-3325.9769}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,943
{txt}{col 49}LR chi2({res}97{txt}){col 67}= {res}   1148.03
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3325.9769{txt}{col 49}Pseudo R2{col 67}= {res}    0.1472

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      major_frev{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}prev_core {c |}{col 18}{res}{space 2} 1.198609{col 30}{space 2} .1469715{col 41}{space 1}    8.16{col 50}{space 3}0.000{col 58}{space 4} .9105502{col 71}{space 3} 1.486668
{txt}{space 8}NUML_aut {c |}{col 18}{res}{space 2}-.1181946{col 30}{space 2} .0136487{col 41}{space 1}   -8.66{col 50}{space 3}0.000{col 58}{space 4}-.1449456{col 71}{space 3}-.0914436
{txt}{space 1}prev_prestige_2 {c |}{col 18}{res}{space 2} .3251799{col 30}{space 2} .0892653{col 41}{space 1}    3.64{col 50}{space 3}0.000{col 58}{space 4} .1502232{col 71}{space 3} .5001367
{txt}{space 3}prev_military {c |}{col 18}{res}{space 2}-.2743081{col 30}{space 2} .1770689{col 41}{space 1}   -1.55{col 50}{space 3}0.121{col 58}{space 4}-.6213568{col 71}{space 3} .0727405
{txt}cab_gwf_military {c |}{col 18}{res}{space 2} 1.256158{col 30}{space 2} .1945488{col 41}{space 1}    6.46{col 50}{space 3}0.000{col 58}{space 4} .8748498{col 71}{space 3} 1.637467
{txt}{space 3}cab_gwf_party {c |}{col 18}{res}{space 2}-1.266232{col 30}{space 2} .2036173{col 41}{space 1}   -6.22{col 50}{space 3}0.000{col 58}{space 4}-1.665315{col 71}{space 3}-.8671496
{txt}cab_gwf_personal {c |}{col 18}{res}{space 2} .2582996{col 30}{space 2} .1835086{col 41}{space 1}    1.41{col 50}{space 3}0.159{col 58}{space 4}-.1013706{col 71}{space 3} .6179698
{txt}{space 16} {c |}
{space 6}gwf_caseid {c |}
{space 13}11  {c |}{col 18}{res}{space 2} 2.136929{col 30}{space 2} .5539475{col 41}{space 1}    3.86{col 50}{space 3}0.000{col 58}{space 4} 1.051212{col 71}{space 3} 3.222647
{txt}{space 13}21  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}23  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}27  {c |}{col 18}{res}{space 2}  .032926{col 30}{space 2}  .482667{col 41}{space 1}    0.07{col 50}{space 3}0.946{col 58}{space 4}-.9130838{col 71}{space 3} .9789359
{txt}{space 13}31  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
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{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-4.170419{col 30}{space 2} .3631902{col 41}{space 1}  -11.48{col 50}{space 3}0.000{col 58}{space 4}-4.882259{col 71}{space 3} -3.45858
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,949{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 27424.1
{txt}{col 15}std. dev:{res}{col 26} 16185.3

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4999{col 37}   13268{col 47}   27224{col 57}   41541{col 67}   49824

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 483.969
{txt}{col 15}std. dev:{res}{col 26} 220.025

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     365{col 47}     452{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 281.177
{txt}{col 15}std. dev:{res}{col 26} 138.643

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. *** Model 2 ***
. 
. logit major_frev $ind cab_gwf_military cab_gwf_party cab_gwf_personal female dem_const coldwar $pre $macro i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3897.6473}  
Iteration 1:{space 3}log likelihood = {res:-2782.7347}  
Iteration 2:{space 3}log likelihood = {res:-2573.7446}  
Iteration 3:{space 3}log likelihood = {res:-2560.0179}  
Iteration 4:{space 3}log likelihood = {res: -2460.823}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-2228.9106}  
Iteration 6:{space 3}log likelihood = {res:-2125.9242}  
Iteration 7:{space 3}log likelihood = {res:-2109.4336}  
Iteration 8:{space 3}log likelihood = {res:-2108.9261}  
Iteration 9:{space 3}log likelihood = {res:-2108.9248}  
Iteration 10:{space 2}log likelihood = {res:-2108.9248}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,909
{txt}{col 49}LR chi2({res}103{txt}){col 67}= {res}   3577.45
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2108.9248{txt}{col 49}Pseudo R2{col 67}= {res}    0.4589

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 2.101331{col 31}{space 2} .2176334{col 42}{space 1}    9.66{col 51}{space 3}0.000{col 59}{space 4} 1.674777{col 72}{space 3} 2.527885
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.0828507{col 31}{space 2}  .016252{col 42}{space 1}   -5.10{col 51}{space 3}0.000{col 59}{space 4}-.1147041{col 72}{space 3}-.0509974
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .3064856{col 31}{space 2} .1158793{col 42}{space 1}    2.64{col 51}{space 3}0.008{col 59}{space 4} .0793662{col 72}{space 3} .5336049
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2} -.253633{col 31}{space 2} .2366353{col 42}{space 1}   -1.07{col 51}{space 3}0.284{col 59}{space 4}-.7174297{col 72}{space 3} .2101636
{txt}{space 1}cab_gwf_military {c |}{col 19}{res}{space 2} 1.289851{col 31}{space 2} .2536261{col 42}{space 1}    5.09{col 51}{space 3}0.000{col 59}{space 4} .7927534{col 72}{space 3} 1.786949
{txt}{space 4}cab_gwf_party {c |}{col 19}{res}{space 2} -1.53233{col 31}{space 2} .2637199{col 42}{space 1}   -5.81{col 51}{space 3}0.000{col 59}{space 4}-2.049212{col 72}{space 3}-1.015449
{txt}{space 1}cab_gwf_personal {c |}{col 19}{res}{space 2}-.0267858{col 31}{space 2} .2375249{col 42}{space 1}   -0.11{col 51}{space 3}0.910{col 59}{space 4}-.4923261{col 72}{space 3} .4387545
{txt}{space 11}female {c |}{col 19}{res}{space 2} .3698779{col 31}{space 2} .1656955{col 42}{space 1}    2.23{col 51}{space 3}0.026{col 59}{space 4} .0451207{col 72}{space 3} .6946352
{txt}{space 8}dem_const {c |}{col 19}{res}{space 2}-2.196401{col 31}{space 2} .4969285{col 42}{space 1}   -4.42{col 51}{space 3}0.000{col 59}{space 4}-3.170363{col 72}{space 3}-1.222439
{txt}{space 10}coldwar {c |}{col 19}{res}{space 2}-.9295657{col 31}{space 2} .6663753{col 42}{space 1}   -1.39{col 51}{space 3}0.163{col 59}{space 4}-2.235637{col 72}{space 3} .3765059
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-58.81452{col 31}{space 2}  5.04481{col 42}{space 1}  -11.66{col 51}{space 3}0.000{col 59}{space 4}-68.70216{col 72}{space 3}-48.92687
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-14.36277{col 31}{space 2} 1.539625{col 42}{space 1}   -9.33{col 51}{space 3}0.000{col 59}{space 4}-17.38038{col 72}{space 3}-11.34516
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2} 5.269393{col 31}{space 2} .8622548{col 42}{space 1}    6.11{col 51}{space 3}0.000{col 59}{space 4} 3.579405{col 72}{space 3} 6.959382
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}-10.45223{col 31}{space 2} .9554845{col 42}{space 1}  -10.94{col 51}{space 3}0.000{col 59}{space 4}-12.32495{col 72}{space 3}-8.579517
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-1.590498{col 31}{space 2} 4.022142{col 42}{space 1}   -0.40{col 51}{space 3}0.693{col 59}{space 4}-9.473751{col 72}{space 3} 6.292754
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2}-33.81097{col 31}{space 2} 1.877012{col 42}{space 1}  -18.01{col 51}{space 3}0.000{col 59}{space 4}-37.48984{col 72}{space 3}-30.13209
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2}-46.20002{col 31}{space 2} 3.322762{col 42}{space 1}  -13.90{col 51}{space 3}0.000{col 59}{space 4}-52.71251{col 72}{space 3}-39.68753
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2}-65.36474{col 31}{space 2} 5.429491{col 42}{space 1}  -12.04{col 51}{space 3}0.000{col 59}{space 4}-76.00635{col 72}{space 3}-54.72314
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} 39.49111{col 31}{space 2}  2.49898{col 42}{space 1}   15.80{col 51}{space 3}0.000{col 59}{space 4}  34.5932{col 72}{space 3} 44.38902
{txt}{space 14}38  {c |}{col 19}{res}{space 2}  114.151{col 31}{space 2} 7.962085{col 42}{space 1}   14.34{col 51}{space 3}0.000{col 59}{space 4} 98.54561{col 72}{space 3} 129.7564
{txt}{space 14}51  {c |}{col 19}{res}{space 2}-57.58439{col 31}{space 2} 3.351632{col 42}{space 1}  -17.18{col 51}{space 3}0.000{col 59}{space 4}-64.15346{col 72}{space 3}-51.01531
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 17.07484{col 31}{space 2} 3.809282{col 42}{space 1}    4.48{col 51}{space 3}0.000{col 59}{space 4} 9.608789{col 72}{space 3}  24.5409
{txt}{space 14}69  {c |}{col 19}{res}{space 2} 130.5379{col 31}{space 2} 7.617392{col 42}{space 1}   17.14{col 51}{space 3}0.000{col 59}{space 4} 115.6081{col 72}{space 3} 145.4677
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-7.915149{col 31}{space 2} 2.089657{col 42}{space 1}   -3.79{col 51}{space 3}0.000{col 59}{space 4} -12.0108{col 72}{space 3}-3.819497
{txt}{space 14}78  {c |}{col 19}{res}{space 2}-23.72599{col 31}{space 2} 1.236992{col 42}{space 1}  -19.18{col 51}{space 3}0.000{col 59}{space 4}-26.15045{col 72}{space 3}-21.30153
{txt}{space 14}82  {c |}{col 19}{res}{space 2}-.8640202{col 31}{space 2} 3.025544{col 42}{space 1}   -0.29{col 51}{space 3}0.775{col 59}{space 4}-6.793977{col 72}{space 3} 5.065937
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{txt}{space 14}98  {c |}{col 19}{res}{space 2}-20.92938{col 31}{space 2} 2.917748{col 42}{space 1}   -7.17{col 51}{space 3}0.000{col 59}{space 4}-26.64806{col 72}{space 3} -15.2107
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{space 13}120  {c |}{col 19}{res}{space 2}-65.62614{col 31}{space 2} 3.281687{col 42}{space 1}  -20.00{col 51}{space 3}0.000{col 59}{space 4}-72.05813{col 72}{space 3}-59.19415
{txt}{space 13}141  {c |}{col 19}{res}{space 2}-35.99534{col 31}{space 2} 3.698969{col 42}{space 1}   -9.73{col 51}{space 3}0.000{col 59}{space 4}-43.24519{col 72}{space 3}-28.74549
{txt}{space 13}147  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}154  {c |}{col 19}{res}{space 2}  111.939{col 31}{space 2} 6.306023{col 42}{space 1}   17.75{col 51}{space 3}0.000{col 59}{space 4} 99.57941{col 72}{space 3} 124.2986
{txt}{space 13}159  {c |}{col 19}{res}{space 2}  14.2542{col 31}{space 2} 2.172825{col 42}{space 1}    6.56{col 51}{space 3}0.000{col 59}{space 4} 9.995538{col 72}{space 3} 18.51286
{txt}{space 13}170  {c |}{col 19}{res}{space 2}-90.42837{col 31}{space 2} 5.149617{col 42}{space 1}  -17.56{col 51}{space 3}0.000{col 59}{space 4}-100.5214{col 72}{space 3}-80.33531
{txt}{space 13}174  {c |}{col 19}{res}{space 2}-57.90426{col 31}{space 2} 4.583197{col 42}{space 1}  -12.63{col 51}{space 3}0.000{col 59}{space 4}-66.88716{col 72}{space 3}-48.92136
{txt}{space 13}180  {c |}{col 19}{res}{space 2} 20.81877{col 31}{space 2} 3.092132{col 42}{space 1}    6.73{col 51}{space 3}0.000{col 59}{space 4} 14.75831{col 72}{space 3} 26.87924
{txt}{space 13}182  {c |}{col 19}{res}{space 2} 22.75988{col 31}{space 2} 3.653356{col 42}{space 1}    6.23{col 51}{space 3}0.000{col 59}{space 4} 15.59944{col 72}{space 3} 29.92033
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{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}200  {c |}{col 19}{res}{space 2}-118.1514{col 31}{space 2} 6.267117{col 42}{space 1}  -18.85{col 51}{space 3}0.000{col 59}{space 4}-130.4348{col 72}{space 3}-105.8681
{txt}{space 13}203  {c |}{col 19}{res}{space 2}-110.4633{col 31}{space 2} 5.884172{col 42}{space 1}  -18.77{col 51}{space 3}0.000{col 59}{space 4}-121.9961{col 72}{space 3}-98.93057
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{txt}{space 13}209  {c |}{col 19}{res}{space 2}-40.87492{col 31}{space 2} 2.109738{col 42}{space 1}  -19.37{col 51}{space 3}0.000{col 59}{space 4}-45.00993{col 72}{space 3}-36.73991
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{txt}{space 13}255  {c |}{col 19}{res}{space 2}-6.140819{col 31}{space 2} 1.143663{col 42}{space 1}   -5.37{col 51}{space 3}0.000{col 59}{space 4}-8.382357{col 72}{space 3}-3.899281
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{txt}{space 13}409  {c |}{col 19}{res}{space 2}-11.35708{col 31}{space 2} 1.079046{col 42}{space 1}  -10.53{col 51}{space 3}0.000{col 59}{space 4}-13.47197{col 72}{space 3}-9.242192
{txt}{space 13}411  {c |}{col 19}{res}{space 2}-11.38594{col 31}{space 2} 1.976309{col 42}{space 1}   -5.76{col 51}{space 3}0.000{col 59}{space 4}-15.25943{col 72}{space 3}-7.512444
{txt}{space 13}417  {c |}{col 19}{res}{space 2}-9.017269{col 31}{space 2} 2.612585{col 42}{space 1}   -3.45{col 51}{space 3}0.001{col 59}{space 4}-14.13784{col 72}{space 3}-3.896696
{txt}{space 13}419  {c |}{col 19}{res}{space 2}-66.55143{col 31}{space 2} 3.355065{col 42}{space 1}  -19.84{col 51}{space 3}0.000{col 59}{space 4}-73.12723{col 72}{space 3}-59.97562
{txt}{space 13}428  {c |}{col 19}{res}{space 2} 51.95405{col 31}{space 2} 2.088502{col 42}{space 1}   24.88{col 51}{space 3}0.000{col 59}{space 4} 47.86066{col 72}{space 3} 56.04744
{txt}{space 13}436  {c |}{col 19}{res}{space 2} 29.23073{col 31}{space 2} 2.199517{col 42}{space 1}   13.29{col 51}{space 3}0.000{col 59}{space 4} 24.91975{col 72}{space 3}  33.5417
{txt}{space 13}439  {c |}{col 19}{res}{space 2} 11.22185{col 31}{space 2} .6637278{col 42}{space 1}   16.91{col 51}{space 3}0.000{col 59}{space 4} 9.920969{col 72}{space 3} 12.52273
{txt}{space 13}441  {c |}{col 19}{res}{space 2} 24.75093{col 31}{space 2} 1.150441{col 42}{space 1}   21.51{col 51}{space 3}0.000{col 59}{space 4}  22.4961{col 72}{space 3} 27.00575
{txt}{space 13}448  {c |}{col 19}{res}{space 2}  50.1247{col 31}{space 2} 4.891415{col 42}{space 1}   10.25{col 51}{space 3}0.000{col 59}{space 4} 40.53771{col 72}{space 3}  59.7117
{txt}{space 13}464  {c |}{col 19}{res}{space 2} 37.84846{col 31}{space 2} 2.119528{col 42}{space 1}   17.86{col 51}{space 3}0.000{col 59}{space 4} 33.69426{col 72}{space 3} 42.00265
{txt}{space 13}472  {c |}{col 19}{res}{space 2} 76.13719{col 31}{space 2} 5.798824{col 42}{space 1}   13.13{col 51}{space 3}0.000{col 59}{space 4}  64.7717{col 72}{space 3} 87.50267
{txt}{space 13}474  {c |}{col 19}{res}{space 2} 90.69278{col 31}{space 2} 5.937462{col 42}{space 1}   15.27{col 51}{space 3}0.000{col 59}{space 4} 79.05557{col 72}{space 3}   102.33
{txt}{space 13}476  {c |}{col 19}{res}{space 2} 98.22466{col 31}{space 2} 5.868741{col 42}{space 1}   16.74{col 51}{space 3}0.000{col 59}{space 4} 86.72214{col 72}{space 3} 109.7272
{txt}{space 13}478  {c |}{col 19}{res}{space 2} 102.9129{col 31}{space 2}  5.86103{col 42}{space 1}   17.56{col 51}{space 3}0.000{col 59}{space 4} 91.42552{col 72}{space 3} 114.4003
{txt}{space 13}483  {c |}{col 19}{res}{space 2}  2.32959{col 31}{space 2}  1.50368{col 42}{space 1}    1.55{col 51}{space 3}0.121{col 59}{space 4}-.6175698{col 72}{space 3} 5.276749
{txt}{space 13}490  {c |}{col 19}{res}{space 2} 95.17738{col 31}{space 2} 5.570811{col 42}{space 1}   17.09{col 51}{space 3}0.000{col 59}{space 4} 84.25879{col 72}{space 3}  106.096
{txt}{space 13}505  {c |}{col 19}{res}{space 2} 47.71407{col 31}{space 2} 1.937113{col 42}{space 1}   24.63{col 51}{space 3}0.000{col 59}{space 4}  43.9174{col 72}{space 3} 51.51074
{txt}{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}525  {c |}{col 19}{res}{space 2} -32.2826{col 31}{space 2} 1.536867{col 42}{space 1}  -21.01{col 51}{space 3}0.000{col 59}{space 4} -35.2948{col 72}{space 3}-29.27039
{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 422.7771{col 31}{space 2} 18.02484{col 42}{space 1}   23.46{col 51}{space 3}0.000{col 59}{space 4} 387.4491{col 72}{space 3} 458.1051
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,923{col 51}{txt}missing .:  {res}0{txt}/{res}15,909

{txt}{col 19}mean:{res}{col 26} 27423.5
{txt}{col 15}std. dev:{res}{col 26} 16189.9

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4997{col 37}   13280{col 47}   27217{col 57}   41541{col 67}   49828

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}15,909

{txt}{col 19}mean:{res}{col 26} 483.845
{txt}{col 15}std. dev:{res}{col 26} 220.155

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     365{col 47}     452{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}15,909

{txt}{col 19}mean:{res}{col 26} 280.922
{txt}{col 15}std. dev:{res}{col 26} 138.597

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. *** TSCS Models ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. *** Model 3 ***
. 
. logit major_frev $ind cab_gwf_military cab_gwf_party cab_gwf_personal i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 231 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 144 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6620.4189}  
Iteration 1:{space 3}log likelihood = {res:-6303.3336}  
Iteration 2:{space 3}log likelihood = {res:-6000.9903}  
Iteration 3:{space 3}log likelihood = {res:-5984.9239}  
Iteration 4:{space 3}log likelihood = {res:-5947.6342}  
Iteration 5:{space 3}log likelihood = {res:-5947.6193}  
Iteration 6:{space 3}log likelihood = {res:-5947.6127}  
Iteration 7:{space 3}log likelihood = {res:-5947.6119}  (backed up)
Iteration 8:{space 3}log likelihood = {res:-5947.6118}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-5947.6118}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-5947.6117}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-5947.6117}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-5947.6117}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-5947.6117}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-5947.6117}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-5947.6117}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-5947.6117}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-5798.1869}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-5766.9961}  
Iteration 19:{space 2}log likelihood = {res: -5764.374}  
Iteration 20:{space 2}log likelihood = {res:-5764.3452}  
Iteration 21:{space 2}log likelihood = {res:-5764.3452}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   200,668
{txt}{col 49}LR chi2({res}97{txt}){col 67}= {res}   1712.15
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5764.3452{txt}{col 49}Pseudo R2{col 67}= {res}    0.1293

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      major_frev{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}prev_core {c |}{col 18}{res}{space 2} 1.127614{col 30}{space 2} .1433103{col 41}{space 1}    7.87{col 50}{space 3}0.000{col 58}{space 4} .8467305{col 71}{space 3} 1.408497
{txt}{space 8}NUML_aut {c |}{col 18}{res}{space 2} -.128523{col 30}{space 2} .0135615{col 41}{space 1}   -9.48{col 50}{space 3}0.000{col 58}{space 4} -.155103{col 71}{space 3}-.1019429
{txt}{space 1}prev_prestige_2 {c |}{col 18}{res}{space 2} .3003792{col 30}{space 2} .0830366{col 41}{space 1}    3.62{col 50}{space 3}0.000{col 58}{space 4} .1376305{col 71}{space 3} .4631279
{txt}{space 3}prev_military {c |}{col 18}{res}{space 2}-.2244918{col 30}{space 2} .1665906{col 41}{space 1}   -1.35{col 50}{space 3}0.178{col 58}{space 4}-.5510033{col 71}{space 3} .1020197
{txt}cab_gwf_military {c |}{col 18}{res}{space 2} 1.273673{col 30}{space 2} .1852287{col 41}{space 1}    6.88{col 50}{space 3}0.000{col 58}{space 4} .9106316{col 71}{space 3} 1.636715
{txt}{space 3}cab_gwf_party {c |}{col 18}{res}{space 2}-1.173192{col 30}{space 2} .1947714{col 41}{space 1}   -6.02{col 50}{space 3}0.000{col 58}{space 4}-1.554936{col 71}{space 3}-.7914467
{txt}cab_gwf_personal {c |}{col 18}{res}{space 2} .3591794{col 30}{space 2} .1761005{col 41}{space 1}    2.04{col 50}{space 3}0.041{col 58}{space 4} .0140287{col 71}{space 3}   .70433
{txt}{space 16} {c |}
{space 6}gwf_caseid {c |}
{space 13}11  {c |}{col 18}{res}{space 2} .3415262{col 30}{space 2} .5367848{col 41}{space 1}    0.64{col 50}{space 3}0.525{col 58}{space 4}-.7105527{col 71}{space 3} 1.393605
{txt}{space 13}21  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}23  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}27  {c |}{col 18}{res}{space 2} .9060617{col 30}{space 2}  .474533{col 41}{space 1}    1.91{col 50}{space 3}0.056{col 58}{space 4} -.024006{col 71}{space 3} 1.836129
{txt}{space 13}31  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}36  {c |}{col 18}{res}{space 2}-.7710203{col 30}{space 2}  .449197{col 41}{space 1}   -1.72{col 50}{space 3}0.086{col 58}{space 4} -1.65143{col 71}{space 3} .1093896
{txt}{space 13}38  {c |}{col 18}{res}{space 2}-1.403017{col 30}{space 2} .6666886{col 41}{space 1}   -2.10{col 50}{space 3}0.035{col 58}{space 4}-2.709702{col 71}{space 3}-.0963312
{txt}{space 13}51  {c |}{col 18}{res}{space 2}-1.135872{col 30}{space 2} .4264484{col 41}{space 1}   -2.66{col 50}{space 3}0.008{col 58}{space 4}-1.971695{col 71}{space 3}-.3000484
{txt}{space 13}62  {c |}{col 18}{res}{space 2}-2.696147{col 30}{space 2} .4494545{col 41}{space 1}   -6.00{col 50}{space 3}0.000{col 58}{space 4}-3.577061{col 71}{space 3}-1.815232
{txt}{space 13}69  {c |}{col 18}{res}{space 2}-1.490079{col 30}{space 2} .4140177{col 41}{space 1}   -3.60{col 50}{space 3}0.000{col 58}{space 4}-2.301539{col 71}{space 3}-.6786195
{txt}{space 13}71  {c |}{col 18}{res}{space 2}  .199863{col 30}{space 2}  .514267{col 41}{space 1}    0.39{col 50}{space 3}0.698{col 58}{space 4}-.8080819{col 71}{space 3} 1.207808
{txt}{space 13}78  {c |}{col 18}{res}{space 2}-1.433632{col 30}{space 2} .6018177{col 41}{space 1}   -2.38{col 50}{space 3}0.017{col 58}{space 4}-2.613173{col 71}{space 3}-.2540907
{txt}{space 13}82  {c |}{col 18}{res}{space 2} 1.098091{col 30}{space 2} .4260578{col 41}{space 1}    2.58{col 50}{space 3}0.010{col 58}{space 4} .2630328{col 71}{space 3} 1.933149
{txt}{space 13}85  {c |}{col 18}{res}{space 2}-1.785007{col 30}{space 2}  .672714{col 41}{space 1}   -2.65{col 50}{space 3}0.008{col 58}{space 4}-3.103503{col 71}{space 3}-.4665121
{txt}{space 13}98  {c |}{col 18}{res}{space 2}-.9106908{col 30}{space 2} .4409534{col 41}{space 1}   -2.07{col 50}{space 3}0.039{col 58}{space 4}-1.774944{col 71}{space 3} -.046438
{txt}{space 12}109  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}120  {c |}{col 18}{res}{space 2}   2.3066{col 30}{space 2} .4471283{col 41}{space 1}    5.16{col 50}{space 3}0.000{col 58}{space 4} 1.430245{col 71}{space 3} 3.182955
{txt}{space 12}141  {c |}{col 18}{res}{space 2}-1.455098{col 30}{space 2} .5030259{col 41}{space 1}   -2.89{col 50}{space 3}0.004{col 58}{space 4}-2.441011{col 71}{space 3}-.4691854
{txt}{space 12}147  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}150  {c |}{col 18}{res}{space 2}-2.890113{col 30}{space 2} .6081925{col 41}{space 1}   -4.75{col 50}{space 3}0.000{col 58}{space 4}-4.082148{col 71}{space 3}-1.698077
{txt}{space 12}154  {c |}{col 18}{res}{space 2} 1.179052{col 30}{space 2} .5685589{col 41}{space 1}    2.07{col 50}{space 3}0.038{col 58}{space 4} .0646967{col 71}{space 3} 2.293407
{txt}{space 12}159  {c |}{col 18}{res}{space 2}-1.427808{col 30}{space 2} .4581893{col 41}{space 1}   -3.12{col 50}{space 3}0.002{col 58}{space 4}-2.325842{col 71}{space 3}-.5297734
{txt}{space 12}170  {c |}{col 18}{res}{space 2} 1.883396{col 30}{space 2} .3997441{col 41}{space 1}    4.71{col 50}{space 3}0.000{col 58}{space 4} 1.099912{col 71}{space 3} 2.666881
{txt}{space 12}174  {c |}{col 18}{res}{space 2}  -1.2816{col 30}{space 2} .6014077{col 41}{space 1}   -2.13{col 50}{space 3}0.033{col 58}{space 4}-2.460338{col 71}{space 3}-.1028625
{txt}{space 12}180  {c |}{col 18}{res}{space 2} .7215158{col 30}{space 2} .6220607{col 41}{space 1}    1.16{col 50}{space 3}0.246{col 58}{space 4}-.4977008{col 71}{space 3} 1.940732
{txt}{space 12}182  {c |}{col 18}{res}{space 2}-1.875705{col 30}{space 2} 1.060937{col 41}{space 1}   -1.77{col 50}{space 3}0.077{col 58}{space 4}-3.955103{col 71}{space 3} .2036926
{txt}{space 12}184  {c |}{col 18}{res}{space 2}-2.718944{col 30}{space 2} .5310222{col 41}{space 1}   -5.12{col 50}{space 3}0.000{col 58}{space 4}-3.759728{col 71}{space 3}-1.678159
{txt}{space 12}188  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
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{txt}{space 12}200  {c |}{col 18}{res}{space 2} .1432293{col 30}{space 2} .7851311{col 41}{space 1}    0.18{col 50}{space 3}0.855{col 58}{space 4}-1.395599{col 71}{space 3} 1.682058
{txt}{space 12}203  {c |}{col 18}{res}{space 2} 1.140364{col 30}{space 2} .4027549{col 41}{space 1}    2.83{col 50}{space 3}0.005{col 58}{space 4}  .350979{col 71}{space 3} 1.929749
{txt}{space 12}205  {c |}{col 18}{res}{space 2} .3643781{col 30}{space 2} .4509324{col 41}{space 1}    0.81{col 50}{space 3}0.419{col 58}{space 4}-.5194332{col 71}{space 3} 1.248189
{txt}{space 12}209  {c |}{col 18}{res}{space 2}-.7567687{col 30}{space 2} .4576045{col 41}{space 1}   -1.65{col 50}{space 3}0.098{col 58}{space 4}-1.653657{col 71}{space 3} .1401197
{txt}{space 12}217  {c |}{col 18}{res}{space 2}-1.089364{col 30}{space 2} 1.060112{col 41}{space 1}   -1.03{col 50}{space 3}0.304{col 58}{space 4}-3.167146{col 71}{space 3} .9884169
{txt}{space 12}219  {c |}{col 18}{res}{space 2}-.7875495{col 30}{space 2} .4912414{col 41}{space 1}   -1.60{col 50}{space 3}0.109{col 58}{space 4}-1.750365{col 71}{space 3}  .175266
{txt}{space 12}222  {c |}{col 18}{res}{space 2}-1.327848{col 30}{space 2} .4251356{col 41}{space 1}   -3.12{col 50}{space 3}0.002{col 58}{space 4}-2.161099{col 71}{space 3} -.494598
{txt}{space 12}227  {c |}{col 18}{res}{space 2} 5.876579{col 30}{space 2} .5397722{col 41}{space 1}   10.89{col 50}{space 3}0.000{col 58}{space 4} 4.818645{col 71}{space 3} 6.934513
{txt}{space 12}229  {c |}{col 18}{res}{space 2}-1.699847{col 30}{space 2} .4701299{col 41}{space 1}   -3.62{col 50}{space 3}0.000{col 58}{space 4}-2.621285{col 71}{space 3}-.7784096
{txt}{space 12}232  {c |}{col 18}{res}{space 2} 1.124972{col 30}{space 2} .4244676{col 41}{space 1}    2.65{col 50}{space 3}0.008{col 58}{space 4} .2930303{col 71}{space 3} 1.956913
{txt}{space 12}238  {c |}{col 18}{res}{space 2} .2874685{col 30}{space 2} .5002301{col 41}{space 1}    0.57{col 50}{space 3}0.566{col 58}{space 4}-.6929644{col 71}{space 3} 1.267901
{txt}{space 12}248  {c |}{col 18}{res}{space 2} .1067388{col 30}{space 2} .4173455{col 41}{space 1}    0.26{col 50}{space 3}0.798{col 58}{space 4}-.7112433{col 71}{space 3}  .924721
{txt}{space 12}255  {c |}{col 18}{res}{space 2} .7984854{col 30}{space 2} .3983901{col 41}{space 1}    2.00{col 50}{space 3}0.045{col 58}{space 4} .0176551{col 71}{space 3} 1.579316
{txt}{space 12}260  {c |}{col 18}{res}{space 2} 1.407285{col 30}{space 2} .4396075{col 41}{space 1}    3.20{col 50}{space 3}0.001{col 58}{space 4} .5456701{col 71}{space 3}   2.2689
{txt}{space 12}265  {c |}{col 18}{res}{space 2}-3.056418{col 30}{space 2} .4819593{col 41}{space 1}   -6.34{col 50}{space 3}0.000{col 58}{space 4}-4.001041{col 71}{space 3}-2.111795
{txt}{space 12}270  {c |}{col 18}{res}{space 2}-.9930743{col 30}{space 2} .5044178{col 41}{space 1}   -1.97{col 50}{space 3}0.049{col 58}{space 4}-1.981715{col 71}{space 3}-.0044336
{txt}{space 12}280  {c |}{col 18}{res}{space 2} .4316733{col 30}{space 2}   .39005{col 41}{space 1}    1.11{col 50}{space 3}0.268{col 58}{space 4}-.3328106{col 71}{space 3} 1.196157
{txt}{space 12}284  {c |}{col 18}{res}{space 2}-.6504614{col 30}{space 2} .4459808{col 41}{space 1}   -1.46{col 50}{space 3}0.145{col 58}{space 4}-1.524568{col 71}{space 3}  .223645
{txt}{space 12}290  {c |}{col 18}{res}{space 2}-1.391314{col 30}{space 2} .5205414{col 41}{space 1}   -2.67{col 50}{space 3}0.008{col 58}{space 4}-2.411557{col 71}{space 3}-.3710719
{txt}{space 12}300  {c |}{col 18}{res}{space 2}-.0887255{col 30}{space 2} .4247877{col 41}{space 1}   -0.21{col 50}{space 3}0.835{col 58}{space 4}-.9212941{col 71}{space 3} .7438431
{txt}{space 12}302  {c |}{col 18}{res}{space 2} .0934789{col 30}{space 2} .4278141{col 41}{space 1}    0.22{col 50}{space 3}0.827{col 58}{space 4}-.7450214{col 71}{space 3} .9319792
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{txt}{space 12}402  {c |}{col 18}{res}{space 2}-.1180382{col 30}{space 2} 1.059706{col 41}{space 1}   -0.11{col 50}{space 3}0.911{col 58}{space 4}-2.195023{col 71}{space 3} 1.958947
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{txt}{space 12}417  {c |}{col 18}{res}{space 2} 2.496726{col 30}{space 2} .4307082{col 41}{space 1}    5.80{col 50}{space 3}0.000{col 58}{space 4} 1.652553{col 71}{space 3} 3.340898
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{txt}{space 12}428  {c |}{col 18}{res}{space 2}  1.72999{col 30}{space 2} .3984875{col 41}{space 1}    4.34{col 50}{space 3}0.000{col 58}{space 4} .9489688{col 71}{space 3} 2.511011
{txt}{space 12}436  {c |}{col 18}{res}{space 2}-1.775519{col 30}{space 2} .5271195{col 41}{space 1}   -3.37{col 50}{space 3}0.001{col 58}{space 4}-2.808655{col 71}{space 3}-.7423842
{txt}{space 12}439  {c |}{col 18}{res}{space 2} 1.949245{col 30}{space 2} .4619752{col 41}{space 1}    4.22{col 50}{space 3}0.000{col 58}{space 4}  1.04379{col 71}{space 3}   2.8547
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{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-5.728838{col 30}{space 2} .3573118{col 41}{space 1}  -16.03{col 50}{space 3}0.000{col 58}{space 4}-6.429156{col 71}{space 3} -5.02852
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,949{col 51}{txt}missing .:  {res}0{txt}/{res}200,668

{txt}{col 19}mean:{res}{col 26} 27434.1
{txt}{col 15}std. dev:{res}{col 26}   15722

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6363{col 37}   14029{col 47}   26686{col 57}   41393{col 67}   49689

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}200,668

{txt}{col 19}mean:{res}{col 26} 430.225
{txt}{col 15}std. dev:{res}{col 26} 237.275

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     235{col 47}     436{col 57}     625{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}200,668

{txt}{col 19}mean:{res}{col 26} 285.278
{txt}{col 15}std. dev:{res}{col 26} 134.696

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     304{col 57}     395{col 67}     436
{txt}
{com}. 
. *** Model 4 ***
. 
. logit major_frev $ind cab_gwf_military cab_gwf_party cab_gwf_personal $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 219 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -6164.553}  
Iteration 1:{space 3}log likelihood = {res:-5560.0563}  
Iteration 2:{space 3}log likelihood = {res:-4855.8071}  
Iteration 3:{space 3}log likelihood = {res:-4536.5739}  
Iteration 4:{space 3}log likelihood = {res: -4515.314}  
Iteration 5:{space 3}log likelihood = {res:-4478.9087}  
Iteration 6:{space 3}log likelihood = {res:-4478.9086}  
Iteration 7:{space 3}log likelihood = {res:-4478.9086}  
Iteration 8:{space 3}log likelihood = {res:-4478.9085}  
Iteration 9:{space 3}log likelihood = {res:-4478.9085}  
Iteration 10:{space 2}log likelihood = {res:-4478.9085}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4478.9085}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4478.9085}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4478.9085}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4478.9085}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4345.8284}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4331.3903}  
Iteration 17:{space 2}log likelihood = {res:-4328.8283}  
Iteration 18:{space 2}log likelihood = {res: -4328.618}  
Iteration 19:{space 2}log likelihood = {res: -4328.618}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,990
{txt}{col 49}LR chi2({res}97{txt}){col 67}= {res}   3671.87
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -4328.618{txt}{col 49}Pseudo R2{col 67}= {res}    0.2978

{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}      major_frev{col 18}{c |}      Coef.{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}prev_core {c |}{col 18}{res}{space 2} 1.218143{col 30}{space 2} .1564623{col 41}{space 1}    7.79{col 50}{space 3}0.000{col 58}{space 4} .9114825{col 71}{space 3} 1.524803
{txt}{space 8}NUML_aut {c |}{col 18}{res}{space 2}-.1041054{col 30}{space 2} .0135416{col 41}{space 1}   -7.69{col 50}{space 3}0.000{col 58}{space 4}-.1306465{col 71}{space 3}-.0775644
{txt}{space 1}prev_prestige_2 {c |}{col 18}{res}{space 2} .2466923{col 30}{space 2} .0887249{col 41}{space 1}    2.78{col 50}{space 3}0.005{col 58}{space 4} .0727948{col 71}{space 3} .4205899
{txt}{space 3}prev_military {c |}{col 18}{res}{space 2}-.2537155{col 30}{space 2}  .180839{col 41}{space 1}   -1.40{col 50}{space 3}0.161{col 58}{space 4}-.6081533{col 71}{space 3} .1007224
{txt}cab_gwf_military {c |}{col 18}{res}{space 2}  1.31456{col 30}{space 2} .2320907{col 41}{space 1}    5.66{col 50}{space 3}0.000{col 58}{space 4} .8596706{col 71}{space 3} 1.769449
{txt}{space 3}cab_gwf_party {c |}{col 18}{res}{space 2}-.2588765{col 30}{space 2} .2107891{col 41}{space 1}   -1.23{col 50}{space 3}0.219{col 58}{space 4}-.6720156{col 71}{space 3} .1542627
{txt}cab_gwf_personal {c |}{col 18}{res}{space 2} .1062641{col 30}{space 2} .2220546{col 41}{space 1}    0.48{col 50}{space 3}0.632{col 58}{space 4}-.3289549{col 71}{space 3}  .541483
{txt}{space 12}yr_t {c |}{col 18}{res}{space 2}-.1159677{col 30}{space 2} .0153487{col 41}{space 1}   -7.56{col 50}{space 3}0.000{col 58}{space 4}-.1460507{col 71}{space 3}-.0858847
{txt}{space 3}yr_since_exit {c |}{col 18}{res}{space 2}-.1795852{col 30}{space 2} .0082006{col 41}{space 1}  -21.90{col 50}{space 3}0.000{col 58}{space 4} -.195658{col 71}{space 3}-.1635124
{txt}{space 16} {c |}
{space 6}gwf_caseid {c |}
{space 13}11  {c |}{col 18}{res}{space 2}   .61238{col 30}{space 2} .6868118{col 41}{space 1}    0.89{col 50}{space 3}0.373{col 58}{space 4}-.7337464{col 71}{space 3} 1.958506
{txt}{space 13}21  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}23  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}27  {c |}{col 18}{res}{space 2} 1.298621{col 30}{space 2} .6138213{col 41}{space 1}    2.12{col 50}{space 3}0.034{col 58}{space 4} .0955539{col 71}{space 3} 2.501689
{txt}{space 13}31  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}36  {c |}{col 18}{res}{space 2} .6155123{col 30}{space 2} .6002216{col 41}{space 1}    1.03{col 50}{space 3}0.305{col 58}{space 4}-.5609004{col 71}{space 3} 1.791925
{txt}{space 13}38  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 13}51  {c |}{col 18}{res}{space 2} 1.766877{col 30}{space 2} .5751058{col 41}{space 1}    3.07{col 50}{space 3}0.002{col 58}{space 4} .6396908{col 71}{space 3} 2.894064
{txt}{space 13}62  {c |}{col 18}{res}{space 2}-.8427274{col 30}{space 2} .6103267{col 41}{space 1}   -1.38{col 50}{space 3}0.167{col 58}{space 4}-2.038946{col 71}{space 3}  .353491
{txt}{space 13}69  {c |}{col 18}{res}{space 2} .2790772{col 30}{space 2} .5841773{col 41}{space 1}    0.48{col 50}{space 3}0.633{col 58}{space 4}-.8658892{col 71}{space 3} 1.424044
{txt}{space 13}71  {c |}{col 18}{res}{space 2} .9487567{col 30}{space 2} .6693949{col 41}{space 1}    1.42{col 50}{space 3}0.156{col 58}{space 4}-.3632333{col 71}{space 3} 2.260747
{txt}{space 13}78  {c |}{col 18}{res}{space 2} .4818296{col 30}{space 2}  .715126{col 41}{space 1}    0.67{col 50}{space 3}0.500{col 58}{space 4}-.9197916{col 71}{space 3} 1.883451
{txt}{space 13}82  {c |}{col 18}{res}{space 2} .3813089{col 30}{space 2} .6082428{col 41}{space 1}    0.63{col 50}{space 3}0.531{col 58}{space 4} -.810825{col 71}{space 3} 1.573443
{txt}{space 13}85  {c |}{col 18}{res}{space 2}-1.115896{col 30}{space 2}  .790586{col 41}{space 1}   -1.41{col 50}{space 3}0.158{col 58}{space 4}-2.665416{col 71}{space 3} .4336246
{txt}{space 13}98  {c |}{col 18}{res}{space 2} -.430688{col 30}{space 2} .6156831{col 41}{space 1}   -0.70{col 50}{space 3}0.484{col 58}{space 4}-1.637405{col 71}{space 3} .7760286
{txt}{space 12}109  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}120  {c |}{col 18}{res}{space 2} 2.068217{col 30}{space 2} .6196604{col 41}{space 1}    3.34{col 50}{space 3}0.001{col 58}{space 4} .8537053{col 71}{space 3}  3.28273
{txt}{space 12}141  {c |}{col 18}{res}{space 2} .6597383{col 30}{space 2} .6353924{col 41}{space 1}    1.04{col 50}{space 3}0.299{col 58}{space 4}-.5856078{col 71}{space 3} 1.905084
{txt}{space 12}147  {c |}{col 18}{res}{space 2}        0{col 30}{txt}  (empty)
{space 12}150  {c |}{col 18}{res}{space 2}-1.066982{col 30}{space 2} .7339154{col 41}{space 1}   -1.45{col 50}{space 3}0.146{col 58}{space 4} -2.50543{col 71}{space 3} .3714657
{txt}{space 12}154  {c |}{col 18}{res}{space 2} .1730989{col 30}{space 2} .7471284{col 41}{space 1}    0.23{col 50}{space 3}0.817{col 58}{space 4}-1.291246{col 71}{space 3} 1.637444
{txt}{space 12}159  {c |}{col 18}{res}{space 2}-.0913823{col 30}{space 2}  .618326{col 41}{space 1}   -0.15{col 50}{space 3}0.883{col 58}{space 4}-1.303279{col 71}{space 3} 1.120514
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{txt}{space 16} {c |}
{space 11}_cons {c |}{col 18}{res}{space 2}-4.360006{col 30}{space 2} .5518433{col 41}{space 1}   -7.90{col 50}{space 3}0.000{col 58}{space 4}-5.441599{col 71}{space 3}-3.278413
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 12 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,648{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 27444.2
{txt}{col 15}std. dev:{res}{col 26} 15689.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6432{col 37}   14046{col 47}   26631{col 57}   41393{col 67}   49691

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26}  424.41
{txt}{col 15}std. dev:{res}{col 26} 236.453

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 287.018
{txt}{col 15}std. dev:{res}{col 26} 134.456

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. *** Model 5 ***
. 
. logit major_frev $ind cab_gwf_military cab_gwf_party cab_gwf_personal female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6161.6342}  
Iteration 1:{space 3}log likelihood = {res:-5514.7782}  
Iteration 2:{space 3}log likelihood = {res:-4824.8223}  
Iteration 3:{space 3}log likelihood = {res:-4522.0323}  
Iteration 4:{space 3}log likelihood = {res:-4498.7377}  
Iteration 5:{space 3}log likelihood = {res:-4461.4208}  
Iteration 6:{space 3}log likelihood = {res:-4461.4152}  
Iteration 7:{space 3}log likelihood = {res: -4461.415}  
Iteration 8:{space 3}log likelihood = {res:-4461.4149}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-4461.4149}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-4461.4149}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4461.4149}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4461.4149}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4461.4149}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4461.4149}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4461.4149}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4461.4149}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4378.9406}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4361.3369}  (backed up)
Iteration 19:{space 2}log likelihood = {res:-4345.3376}  
Iteration 20:{space 2}log likelihood = {res: -4311.702}  
Iteration 21:{space 2}log likelihood = {res:-4311.0741}  
Iteration 22:{space 2}log likelihood = {res:-4311.0739}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,408
{txt}{col 49}LR chi2({res}103{txt}){col 67}= {res}   3701.12
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4311.0739{txt}{col 49}Pseudo R2{col 67}= {res}    0.3003

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
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{txt}{space 13}472  {c |}{col 19}{res}{space 2} 2.566751{col 31}{space 2} 3.222059{col 42}{space 1}    0.80{col 51}{space 3}0.426{col 59}{space 4} -3.74837{col 72}{space 3} 8.881871
{txt}{space 13}474  {c |}{col 19}{res}{space 2} 1.153963{col 31}{space 2} 3.399123{col 42}{space 1}    0.34{col 51}{space 3}0.734{col 59}{space 4}-5.508196{col 72}{space 3} 7.816122
{txt}{space 13}476  {c |}{col 19}{res}{space 2}-.2797299{col 31}{space 2}  3.49311{col 42}{space 1}   -0.08{col 51}{space 3}0.936{col 59}{space 4}  -7.1261{col 72}{space 3}  6.56664
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{txt}{space 13}483  {c |}{col 19}{res}{space 2}-1.576689{col 31}{space 2} .7509206{col 42}{space 1}   -2.10{col 51}{space 3}0.036{col 59}{space 4}-3.048466{col 72}{space 3}-.1049114
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{txt}{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}525  {c |}{col 19}{res}{space 2} .4668871{col 31}{space 2} 1.359435{col 42}{space 1}    0.34{col 51}{space 3}0.731{col 59}{space 4}-2.197557{col 72}{space 3} 3.131331
{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-25.10592{col 31}{space 2} 12.55882{col 42}{space 1}   -2.00{col 51}{space 3}0.046{col 59}{space 4}-49.72075{col 72}{space 3}-.4910946
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 16 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,622{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 27442.6
{txt}{col 15}std. dev:{res}{col 26} 15689.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6431{col 37}   14048{col 47}   26631{col 57}   41393{col 67}   49689

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 423.943
{txt}{col 15}std. dev:{res}{col 26} 236.515

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 286.633
{txt}{col 15}std. dev:{res}{col 26} 134.396

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. 
. *** Table A12 ***
. 
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. *** Model 1 ***
. 
. logit major_frev $ind i.gwf_caseid if same==0

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 120 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 108 obs not used

note: 154.gwf_caseid != 0 predicts failure perfectly
      154.gwf_caseid dropped and 378 obs not used

note: 182.gwf_caseid != 0 predicts failure perfectly
      182.gwf_caseid dropped and 91 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 63 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 179 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 32 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 392 obs not used

note: 505.gwf_caseid != 0 predicts failure perfectly
      505.gwf_caseid dropped and 32 obs not used

note: 508.gwf_caseid != 0 predicts failure perfectly
      508.gwf_caseid dropped and 42 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2448.9243}  
Iteration 1:{space 3}log likelihood = {res:-2389.6672}  
Iteration 2:{space 3}log likelihood = {res:-2254.9246}  
Iteration 3:{space 3}log likelihood = {res:-2249.2408}  
Iteration 4:{space 3}log likelihood = {res:-2248.9856}  
Iteration 5:{space 3}log likelihood = {res:-2248.9853}  
Iteration 6:{space 3}log likelihood = {res:-2248.9853}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    13,579
{txt}{col 49}LR chi2({res}88{txt}){col 67}= {res}    399.88
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2248.9853{txt}{col 49}Pseudo R2{col 67}= {res}    0.0816

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} .7185537{col 29}{space 2} .1652834{col 40}{space 1}    4.35{col 49}{space 3}0.000{col 57}{space 4} .3946043{col 70}{space 3} 1.042503
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2} .0121862{col 29}{space 2} .0122884{col 40}{space 1}    0.99{col 49}{space 3}0.321{col 57}{space 4}-.0118986{col 70}{space 3} .0362709
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .3352438{col 29}{space 2} .1110442{col 40}{space 1}    3.02{col 49}{space 3}0.003{col 57}{space 4} .1176012{col 70}{space 3} .5528865
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.8071793{col 29}{space 2} .2615836{col 40}{space 1}   -3.09{col 49}{space 3}0.002{col 57}{space 4}-1.319874{col 70}{space 3}-.2944849
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{txt}{space 11}387  {c |}{col 17}{res}{space 2} .3318734{col 29}{space 2} .6719115{col 40}{space 1}    0.49{col 49}{space 3}0.621{col 57}{space 4}-.9850491{col 70}{space 3} 1.648796
{txt}{space 11}390  {c |}{col 17}{res}{space 2}-.7126114{col 29}{space 2} .7817418{col 40}{space 1}   -0.91{col 49}{space 3}0.362{col 57}{space 4}-2.244797{col 70}{space 3} .8195745
{txt}{space 11}393  {c |}{col 17}{res}{space 2} .0312285{col 29}{space 2} .7885118{col 40}{space 1}    0.04{col 49}{space 3}0.968{col 57}{space 4}-1.514226{col 70}{space 3} 1.576683
{txt}{space 11}395  {c |}{col 17}{res}{space 2}-1.110482{col 29}{space 2} .7802935{col 40}{space 1}   -1.42{col 49}{space 3}0.155{col 57}{space 4}-2.639829{col 70}{space 3} .4188651
{txt}{space 11}398  {c |}{col 17}{res}{space 2}-.0864007{col 29}{space 2} 1.065132{col 40}{space 1}   -0.08{col 49}{space 3}0.935{col 57}{space 4}-2.174021{col 70}{space 3} 2.001219
{txt}{space 11}401  {c |}{col 17}{res}{space 2}-1.116166{col 29}{space 2} .7806898{col 40}{space 1}   -1.43{col 49}{space 3}0.153{col 57}{space 4}-2.646289{col 70}{space 3} .4139583
{txt}{space 11}402  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}409  {c |}{col 17}{res}{space 2} 1.111956{col 29}{space 2} .4348682{col 40}{space 1}    2.56{col 49}{space 3}0.011{col 57}{space 4} .2596299{col 70}{space 3} 1.964282
{txt}{space 11}411  {c |}{col 17}{res}{space 2} -1.36103{col 29}{space 2} .6627226{col 40}{space 1}   -2.05{col 49}{space 3}0.040{col 57}{space 4}-2.659942{col 70}{space 3}-.0621172
{txt}{space 11}417  {c |}{col 17}{res}{space 2}-1.700797{col 29}{space 2} 1.053267{col 40}{space 1}   -1.61{col 49}{space 3}0.106{col 57}{space 4}-3.765162{col 70}{space 3} .3635683
{txt}{space 11}419  {c |}{col 17}{res}{space 2} .5109003{col 29}{space 2} .4695169{col 40}{space 1}    1.09{col 49}{space 3}0.277{col 57}{space 4}-.4093358{col 70}{space 3} 1.431136
{txt}{space 11}428  {c |}{col 17}{res}{space 2} .5427131{col 29}{space 2} .5298395{col 40}{space 1}    1.02{col 49}{space 3}0.306{col 57}{space 4}-.4957532{col 70}{space 3} 1.581179
{txt}{space 11}436  {c |}{col 17}{res}{space 2} -.679191{col 29}{space 2} 1.058435{col 40}{space 1}   -0.64{col 49}{space 3}0.521{col 57}{space 4}-2.753685{col 70}{space 3} 1.395303
{txt}{space 11}439  {c |}{col 17}{res}{space 2} 1.365724{col 29}{space 2} .5171265{col 40}{space 1}    2.64{col 49}{space 3}0.008{col 57}{space 4} .3521742{col 70}{space 3} 2.379273
{txt}{space 11}441  {c |}{col 17}{res}{space 2} 2.235645{col 29}{space 2} .3876531{col 40}{space 1}    5.77{col 49}{space 3}0.000{col 57}{space 4} 1.475859{col 70}{space 3} 2.995431
{txt}{space 11}448  {c |}{col 17}{res}{space 2}-.5615627{col 29}{space 2} .6656798{col 40}{space 1}   -0.84{col 49}{space 3}0.399{col 57}{space 4}-1.866271{col 70}{space 3} .7431458
{txt}{space 11}464  {c |}{col 17}{res}{space 2} .1086264{col 29}{space 2} .5266554{col 40}{space 1}    0.21{col 49}{space 3}0.837{col 57}{space 4}-.9235992{col 70}{space 3} 1.140852
{txt}{space 11}472  {c |}{col 17}{res}{space 2} .3106021{col 29}{space 2} 1.072629{col 40}{space 1}    0.29{col 49}{space 3}0.772{col 57}{space 4}-1.791712{col 70}{space 3} 2.412916
{txt}{space 11}474  {c |}{col 17}{res}{space 2} 1.563857{col 29}{space 2} .3952701{col 40}{space 1}    3.96{col 49}{space 3}0.000{col 57}{space 4} .7891423{col 70}{space 3} 2.338573
{txt}{space 11}476  {c |}{col 17}{res}{space 2} .9393016{col 29}{space 2}  .449663{col 40}{space 1}    2.09{col 49}{space 3}0.037{col 57}{space 4} .0579782{col 70}{space 3} 1.820625
{txt}{space 11}478  {c |}{col 17}{res}{space 2}-.8576641{col 29}{space 2}  .781354{col 40}{space 1}   -1.10{col 49}{space 3}0.272{col 57}{space 4} -2.38909{col 70}{space 3} .6737616
{txt}{space 11}483  {c |}{col 17}{res}{space 2}-.5499591{col 29}{space 2} .5994548{col 40}{space 1}   -0.92{col 49}{space 3}0.359{col 57}{space 4}-1.724869{col 70}{space 3} .6249507
{txt}{space 11}490  {c |}{col 17}{res}{space 2} .9796068{col 29}{space 2} .6812363{col 40}{space 1}    1.44{col 49}{space 3}0.150{col 57}{space 4}-.3555919{col 70}{space 3} 2.314806
{txt}{space 11}505  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}508  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}525  {c |}{col 17}{res}{space 2}-.3382342{col 29}{space 2} .6670788{col 40}{space 1}   -0.51{col 49}{space 3}0.612{col 57}{space 4}-1.645685{col 70}{space 3} .9692163
{txt}{space 11}527  {c |}{col 17}{res}{space 2}-.0306048{col 29}{space 2}  .500898{col 40}{space 1}   -0.06{col 49}{space 3}0.951{col 57}{space 4}-1.012347{col 70}{space 3} .9511371
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.257565{col 29}{space 2} .3583894{col 40}{space 1}  -11.88{col 49}{space 3}0.000{col 57}{space 4}-4.959996{col 70}{space 3}-3.555135
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}11,111{col 51}{txt}missing .:  {res}0{txt}/{res}13,579

{txt}{col 19}mean:{res}{col 26} 27301.2
{txt}{col 15}std. dev:{res}{col 26} 16088.4

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    5139{col 37}   13184{col 47}   26956{col 57}   41505{col 67}   49507

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}64{col 51}{txt}missing .:  {res}0{txt}/{res}13,579

{txt}{col 19}mean:{res}{col 26} 489.896
{txt}{col 15}std. dev:{res}{col 26} 219.563

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     404{col 47}     452{col 57}     700{col 67}     790

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}85{col 51}{txt}missing .:  {res}0{txt}/{res}13,579

{txt}{col 19}mean:{res}{col 26} 280.803
{txt}{col 15}std. dev:{res}{col 26} 139.153

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     300{col 57}     395{col 67}     464
{txt}
{com}. 
. *** Model 2 ***
. 
. logit major_frev $ind female dem_const coldwar $pre $macro i.gwf_caseid if same==0

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 119 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 108 obs not used

note: 154.gwf_caseid != 0 predicts failure perfectly
      154.gwf_caseid dropped and 378 obs not used

note: 182.gwf_caseid != 0 predicts failure perfectly
      182.gwf_caseid dropped and 91 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 63 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 179 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 32 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 392 obs not used

note: 505.gwf_caseid != 0 predicts failure perfectly
      505.gwf_caseid dropped and 32 obs not used

note: 508.gwf_caseid != 0 predicts failure perfectly
      508.gwf_caseid dropped and 42 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 490.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2447.3937}  
Iteration 1:{space 3}log likelihood = {res:-2032.8339}  
Iteration 2:{space 3}log likelihood = {res:-1976.9974}  
Iteration 3:{space 3}log likelihood = {res:-1856.1283}  (not concave)
Iteration 4:{space 3}log likelihood = {res:-1798.0138}  (not concave)
Iteration 5:{space 3}log likelihood = {res:-1775.2724}  (not concave)
Iteration 6:{space 3}log likelihood = {res: -1766.653}  (not concave)
Iteration 7:{space 3}log likelihood = {res: -1751.515}  (not concave)
Iteration 8:{space 3}log likelihood = {res:-1743.3934}  (not concave)
Iteration 9:{space 3}log likelihood = {res:-1732.5686}  
Iteration 10:{space 2}log likelihood = {res:-1732.5686}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-1732.5671}  (backed up)
Iteration 12:{space 2}log likelihood = {res: -1674.498}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-1633.7307}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-1499.4818}  
Iteration 15:{space 2}log likelihood = {res:-1472.2992}  
Iteration 16:{space 2}log likelihood = {res:-1424.9438}  
Iteration 17:{space 2}log likelihood = {res:-1421.2045}  
Iteration 18:{space 2}log likelihood = {res: -1420.443}  
Iteration 19:{space 2}log likelihood = {res:-1420.4387}  
Iteration 20:{space 2}log likelihood = {res:-1420.4387}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    13,545
{txt}{col 49}LR chi2({res}94{txt}){col 67}= {res}   2053.91
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1420.4387{txt}{col 49}Pseudo R2{col 67}= {res}    0.4196

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 1.430695{col 31}{space 2} .2337232{col 42}{space 1}    6.12{col 51}{space 3}0.000{col 59}{space 4} .9726061{col 72}{space 3} 1.888784
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2} .0030388{col 31}{space 2}  .016456{col 42}{space 1}    0.18{col 51}{space 3}0.853{col 59}{space 4}-.0292143{col 72}{space 3} .0352919
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2573868{col 31}{space 2} .1459993{col 42}{space 1}    1.76{col 51}{space 3}0.078{col 59}{space 4}-.0287666{col 72}{space 3} .5435403
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.5008386{col 31}{space 2} .3221821{col 42}{space 1}   -1.55{col 51}{space 3}0.120{col 59}{space 4}-1.132304{col 72}{space 3} .1306268
{txt}{space 11}female {c |}{col 19}{res}{space 2} .4612035{col 31}{space 2} .2187937{col 42}{space 1}    2.11{col 51}{space 3}0.035{col 59}{space 4} .0323758{col 72}{space 3} .8900313
{txt}{space 8}dem_const {c |}{col 19}{res}{space 2}-1.803241{col 31}{space 2} .5749696{col 42}{space 1}   -3.14{col 51}{space 3}0.002{col 59}{space 4} -2.93016{col 72}{space 3}-.6763211
{txt}{space 10}coldwar {c |}{col 19}{res}{space 2}-1.803796{col 31}{space 2} .8443975{col 42}{space 1}   -2.14{col 51}{space 3}0.033{col 59}{space 4}-3.458784{col 72}{space 3}-.1488069
{txt}prev_gwf_military {c |}{col 19}{res}{space 2} 42.25034{col 31}{space 2} 2.623491{col 42}{space 1}   16.10{col 51}{space 3}0.000{col 59}{space 4} 37.10839{col 72}{space 3} 47.39229
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-23.87306{col 31}{space 2} 1.972531{col 42}{space 1}  -12.10{col 51}{space 3}0.000{col 59}{space 4}-27.73915{col 72}{space 3}-20.00697
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2} 9.603552{col 31}{space 2} 1.078227{col 42}{space 1}    8.91{col 51}{space 3}0.000{col 59}{space 4} 7.490265{col 72}{space 3} 11.71684
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}-7.008553{col 31}{space 2} 1.163499{col 42}{space 1}   -6.02{col 51}{space 3}0.000{col 59}{space 4} -9.28897{col 72}{space 3}-4.728136
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2} 1.373799{col 31}{space 2} 5.696494{col 42}{space 1}    0.24{col 51}{space 3}0.809{col 59}{space 4}-9.791123{col 72}{space 3} 12.53872
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} -46.4586{col 31}{space 2} 2.645697{col 42}{space 1}  -17.56{col 51}{space 3}0.000{col 59}{space 4}-51.64407{col 72}{space 3}-41.27313
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2}-69.85684{col 31}{space 2} 4.695797{col 42}{space 1}  -14.88{col 51}{space 3}0.000{col 59}{space 4}-79.06043{col 72}{space 3}-60.65325
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2}-103.9794{col 31}{space 2} 7.430511{col 42}{space 1}  -13.99{col 51}{space 3}0.000{col 59}{space 4} -118.543{col 72}{space 3}-89.41592
{txt}{space 14}36  {c |}{col 19}{res}{space 2} 56.13412{col 31}{space 2} 3.467632{col 42}{space 1}   16.19{col 51}{space 3}0.000{col 59}{space 4} 49.33769{col 72}{space 3} 62.93055
{txt}{space 14}38  {c |}{col 19}{res}{space 2} 35.20742{col 31}{space 2} 3.897492{col 42}{space 1}    9.03{col 51}{space 3}0.000{col 59}{space 4} 27.56847{col 72}{space 3} 42.84636
{txt}{space 14}51  {c |}{col 19}{res}{space 2}-74.99249{col 31}{space 2}  5.03511{col 42}{space 1}  -14.89{col 51}{space 3}0.000{col 59}{space 4}-84.86113{col 72}{space 3}-65.12386
{txt}{space 14}62  {c |}{col 19}{res}{space 2}-99.00381{col 31}{space 2} 6.017395{col 42}{space 1}  -16.45{col 51}{space 3}0.000{col 59}{space 4}-110.7977{col 72}{space 3}-87.20994
{txt}{space 14}69  {c |}{col 19}{res}{space 2}  51.9699{col 31}{space 2} 3.768453{col 42}{space 1}   13.79{col 51}{space 3}0.000{col 59}{space 4} 44.58387{col 72}{space 3} 59.35593
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-22.58074{col 31}{space 2} 2.792364{col 42}{space 1}   -8.09{col 51}{space 3}0.000{col 59}{space 4}-28.05368{col 72}{space 3}-17.10781
{txt}{space 14}78  {c |}{col 19}{res}{space 2}-30.49163{col 31}{space 2} 1.632459{col 42}{space 1}  -18.68{col 51}{space 3}0.000{col 59}{space 4}-33.69119{col 72}{space 3}-27.29207
{txt}{space 14}82  {c |}{col 19}{res}{space 2}-118.9016{col 31}{space 2} 5.817403{col 42}{space 1}  -20.44{col 51}{space 3}0.000{col 59}{space 4}-130.3035{col 72}{space 3}-107.4997
{txt}{space 14}85  {c |}{col 19}{res}{space 2}-108.6585{col 31}{space 2} 5.280457{col 42}{space 1}  -20.58{col 51}{space 3}0.000{col 59}{space 4} -119.008{col 72}{space 3}  -98.309
{txt}{space 14}98  {c |}{col 19}{res}{space 2}-144.1162{col 31}{space 2} 7.206933{col 42}{space 1}  -20.00{col 51}{space 3}0.000{col 59}{space 4}-158.2415{col 72}{space 3}-129.9909
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2}-85.74499{col 31}{space 2} 4.643279{col 42}{space 1}  -18.47{col 51}{space 3}0.000{col 59}{space 4}-94.84565{col 72}{space 3}-76.64433
{txt}{space 13}141  {c |}{col 19}{res}{space 2}-59.87706{col 31}{space 2} 5.006677{col 42}{space 1}  -11.96{col 51}{space 3}0.000{col 59}{space 4}-69.68997{col 72}{space 3}-50.06416
{txt}{space 13}150  {c |}{col 19}{res}{space 2} -76.2589{col 31}{space 2} 5.975075{col 42}{space 1}  -12.76{col 51}{space 3}0.000{col 59}{space 4}-87.96983{col 72}{space 3}-64.54797
{txt}{space 13}154  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}159  {c |}{col 19}{res}{space 2}-108.2559{col 31}{space 2}  5.84749{col 42}{space 1}  -18.51{col 51}{space 3}0.000{col 59}{space 4}-119.7168{col 72}{space 3}-96.79507
{txt}{space 13}170  {c |}{col 19}{res}{space 2}-127.3403{col 31}{space 2} 7.251276{col 42}{space 1}  -17.56{col 51}{space 3}0.000{col 59}{space 4}-141.5525{col 72}{space 3} -113.128
{txt}{space 13}174  {c |}{col 19}{res}{space 2}-89.65833{col 31}{space 2} 6.327304{col 42}{space 1}  -14.17{col 51}{space 3}0.000{col 59}{space 4}-102.0596{col 72}{space 3}-77.25704
{txt}{space 13}180  {c |}{col 19}{res}{space 2}-92.98152{col 31}{space 2} 4.587778{col 42}{space 1}  -20.27{col 51}{space 3}0.000{col 59}{space 4}-101.9734{col 72}{space 3}-83.98964
{txt}{space 13}182  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}184  {c |}{col 19}{res}{space 2}-16.85653{col 31}{space 2} 1.520565{col 42}{space 1}  -11.09{col 51}{space 3}0.000{col 59}{space 4}-19.83679{col 72}{space 3}-13.87628
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}196  {c |}{col 19}{res}{space 2}-77.03363{col 31}{space 2}  4.30698{col 42}{space 1}  -17.89{col 51}{space 3}0.000{col 59}{space 4}-85.47515{col 72}{space 3} -68.5921
{txt}{space 13}200  {c |}{col 19}{res}{space 2}-160.0885{col 31}{space 2} 8.856641{col 42}{space 1}  -18.08{col 51}{space 3}0.000{col 59}{space 4}-177.4472{col 72}{space 3}-142.7298
{txt}{space 13}203  {c |}{col 19}{res}{space 2}-149.5828{col 31}{space 2} 8.314746{col 42}{space 1}  -17.99{col 51}{space 3}0.000{col 59}{space 4}-165.8794{col 72}{space 3}-133.2862
{txt}{space 13}205  {c |}{col 19}{res}{space 2}-172.3475{col 31}{space 2} 8.649977{col 42}{space 1}  -19.92{col 51}{space 3}0.000{col 59}{space 4}-189.3011{col 72}{space 3}-155.3938
{txt}{space 13}209  {c |}{col 19}{res}{space 2}-54.90222{col 31}{space 2} 2.938032{col 42}{space 1}  -18.69{col 51}{space 3}0.000{col 59}{space 4}-60.66066{col 72}{space 3}-49.14379
{txt}{space 13}217  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}219  {c |}{col 19}{res}{space 2}-102.5288{col 31}{space 2} 5.068228{col 42}{space 1}  -20.23{col 51}{space 3}0.000{col 59}{space 4}-112.4623{col 72}{space 3}-92.59524
{txt}{space 13}222  {c |}{col 19}{res}{space 2}-57.96144{col 31}{space 2} 3.269542{col 42}{space 1}  -17.73{col 51}{space 3}0.000{col 59}{space 4}-64.36963{col 72}{space 3}-51.55326
{txt}{space 13}227  {c |}{col 19}{res}{space 2}-80.03342{col 31}{space 2} 4.566358{col 42}{space 1}  -17.53{col 51}{space 3}0.000{col 59}{space 4}-88.98331{col 72}{space 3}-71.08352
{txt}{space 13}229  {c |}{col 19}{res}{space 2}-113.5296{col 31}{space 2} 6.279328{col 42}{space 1}  -18.08{col 51}{space 3}0.000{col 59}{space 4}-125.8369{col 72}{space 3}-101.2224
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{txt}{space 13}336  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
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{txt}{space 13}351  {c |}{col 19}{res}{space 2}-65.28519{col 31}{space 2} 3.501063{col 42}{space 1}  -18.65{col 51}{space 3}0.000{col 59}{space 4}-72.14715{col 72}{space 3}-58.42323
{txt}{space 13}354  {c |}{col 19}{res}{space 2} 10.91398{col 31}{space 2}  2.01583{col 42}{space 1}    5.41{col 51}{space 3}0.000{col 59}{space 4} 6.963031{col 72}{space 3} 14.86494
{txt}{space 13}357  {c |}{col 19}{res}{space 2} 39.19364{col 31}{space 2} 3.655382{col 42}{space 1}   10.72{col 51}{space 3}0.000{col 59}{space 4} 32.02922{col 72}{space 3} 46.35806
{txt}{space 13}362  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}367  {c |}{col 19}{res}{space 2} 52.59356{col 31}{space 2}  4.00961{col 42}{space 1}   13.12{col 51}{space 3}0.000{col 59}{space 4} 44.73487{col 72}{space 3} 60.45226
{txt}{space 13}376  {c |}{col 19}{res}{space 2}-132.0105{col 31}{space 2} 7.633068{col 42}{space 1}  -17.29{col 51}{space 3}0.000{col 59}{space 4} -146.971{col 72}{space 3}-117.0499
{txt}{space 13}380  {c |}{col 19}{res}{space 2} -50.0682{col 31}{space 2} 3.440002{col 42}{space 1}  -14.55{col 51}{space 3}0.000{col 59}{space 4}-56.81048{col 72}{space 3}-43.32592
{txt}{space 13}387  {c |}{col 19}{res}{space 2}-54.50594{col 31}{space 2} 2.879508{col 42}{space 1}  -18.93{col 51}{space 3}0.000{col 59}{space 4}-60.14967{col 72}{space 3}-48.86221
{txt}{space 13}390  {c |}{col 19}{res}{space 2}-.6466469{col 31}{space 2} 2.092397{col 42}{space 1}   -0.31{col 51}{space 3}0.757{col 59}{space 4}-4.747669{col 72}{space 3} 3.454375
{txt}{space 13}393  {c |}{col 19}{res}{space 2} 40.59254{col 31}{space 2} 2.279532{col 42}{space 1}   17.81{col 51}{space 3}0.000{col 59}{space 4} 36.12474{col 72}{space 3} 45.06034
{txt}{space 13}395  {c |}{col 19}{res}{space 2} 51.91446{col 31}{space 2}    2.564{col 42}{space 1}   20.25{col 51}{space 3}0.000{col 59}{space 4} 46.88911{col 72}{space 3} 56.93981
{txt}{space 13}398  {c |}{col 19}{res}{space 2}-43.19382{col 31}{space 2} 4.795827{col 42}{space 1}   -9.01{col 51}{space 3}0.000{col 59}{space 4}-52.59347{col 72}{space 3}-33.79417
{txt}{space 13}401  {c |}{col 19}{res}{space 2} 23.22696{col 31}{space 2}  1.56088{col 42}{space 1}   14.88{col 51}{space 3}0.000{col 59}{space 4} 20.16769{col 72}{space 3} 26.28623
{txt}{space 13}402  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}409  {c |}{col 19}{res}{space 2}-13.48851{col 31}{space 2} 1.381212{col 42}{space 1}   -9.77{col 51}{space 3}0.000{col 59}{space 4}-16.19564{col 72}{space 3}-10.78139
{txt}{space 13}411  {c |}{col 19}{res}{space 2}-23.84855{col 31}{space 2} 2.567861{col 42}{space 1}   -9.29{col 51}{space 3}0.000{col 59}{space 4}-28.88147{col 72}{space 3}-18.81564
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{txt}{space 13}419  {c |}{col 19}{res}{space 2}-87.64761{col 31}{space 2} 4.719936{col 42}{space 1}  -18.57{col 51}{space 3}0.000{col 59}{space 4}-96.89852{col 72}{space 3}-78.39671
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{txt}{space 13}472  {c |}{col 19}{res}{space 2}-18.27205{col 31}{space 2} 2.238417{col 42}{space 1}   -8.16{col 51}{space 3}0.000{col 59}{space 4}-22.65926{col 72}{space 3}-13.88483
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{txt}{space 13}490  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}505  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 524.9457{col 31}{space 2} 25.64988{col 42}{space 1}   20.47{col 51}{space 3}0.000{col 59}{space 4} 474.6728{col 72}{space 3} 575.2185
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}11,085{col 51}{txt}missing .:  {res}0{txt}/{res}13,545

{txt}{col 19}mean:{res}{col 26} 27300.2
{txt}{col 15}std. dev:{res}{col 26} 16093.7

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    5118{col 37}   13188{col 47}   26945{col 57}   41514{col 67}   49509

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}64{col 51}{txt}missing .:  {res}0{txt}/{res}13,545

{txt}{col 19}mean:{res}{col 26} 489.765
{txt}{col 15}std. dev:{res}{col 26} 219.717

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     372{col 47}     452{col 57}     700{col 67}     790

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}85{col 51}{txt}missing .:  {res}0{txt}/{res}13,545

{txt}{col 19}mean:{res}{col 26} 280.503
{txt}{col 15}std. dev:{res}{col 26}   139.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     300{col 57}     395{col 67}     464
{txt}
{com}. 
. *** TSCS Models ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. *** Model 3 ***
. 
. logit major_frev $ind i.gwf_caseid if same==0

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 228 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4440 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3348 obs not used

note: 154.gwf_caseid != 0 predicts failure perfectly
      154.gwf_caseid dropped and 378 obs not used

note: 182.gwf_caseid != 0 predicts failure perfectly
      182.gwf_caseid dropped and 182 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 2898 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 179 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 128 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 783 obs not used

note: 505.gwf_caseid != 0 predicts failure perfectly
      505.gwf_caseid dropped and 187 obs not used

note: 508.gwf_caseid != 0 predicts failure perfectly
      508.gwf_caseid dropped and 1512 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4026.1253}  
Iteration 1:{space 3}log likelihood = {res:-3813.8818}  
Iteration 2:{space 3}log likelihood = {res:-3692.1381}  
Iteration 3:{space 3}log likelihood = {res:-3674.4878}  
Iteration 4:{space 3}log likelihood = {res:-3673.9337}  
Iteration 5:{space 3}log likelihood = {res:-3673.9318}  
Iteration 6:{space 3}log likelihood = {res:-3673.9318}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   186,735
{txt}{col 49}LR chi2({res}88{txt}){col 67}= {res}    704.39
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3673.9318{txt}{col 49}Pseudo R2{col 67}= {res}    0.0875

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} .6710206{col 29}{space 2} .1620647{col 40}{space 1}    4.14{col 49}{space 3}0.000{col 57}{space 4} .3533797{col 70}{space 3} .9886615
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2} .0124708{col 29}{space 2} .0117839{col 40}{space 1}    1.06{col 49}{space 3}0.290{col 57}{space 4}-.0106251{col 70}{space 3} .0355667
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .3328046{col 29}{space 2} .1066811{col 40}{space 1}    3.12{col 49}{space 3}0.002{col 57}{space 4} .1237136{col 70}{space 3} .5418957
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.8046358{col 29}{space 2} .2557008{col 40}{space 1}   -3.15{col 49}{space 3}0.002{col 57}{space 4}  -1.3058{col 70}{space 3}-.3034715
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}11  {c |}{col 17}{res}{space 2}-1.851869{col 29}{space 2} .7772588{col 40}{space 1}   -2.38{col 49}{space 3}0.017{col 57}{space 4}-3.375268{col 70}{space 3}-.3284697
{txt}{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} -.016537{col 29}{space 2} .7769992{col 40}{space 1}   -0.02{col 49}{space 3}0.983{col 57}{space 4}-1.539427{col 70}{space 3} 1.506353
{txt}{space 12}36  {c |}{col 17}{res}{space 2}-.3885867{col 29}{space 2} .4383528{col 40}{space 1}   -0.89{col 49}{space 3}0.375{col 57}{space 4}-1.247742{col 70}{space 3} .4705689
{txt}{space 12}38  {c |}{col 17}{res}{space 2}-.7384145{col 29}{space 2}  .659766{col 40}{space 1}   -1.12{col 49}{space 3}0.263{col 57}{space 4}-2.031532{col 70}{space 3} .5547032
{txt}{space 12}51  {c |}{col 17}{res}{space 2}-1.407686{col 29}{space 2} .5928034{col 40}{space 1}   -2.37{col 49}{space 3}0.018{col 57}{space 4} -2.56956{col 70}{space 3}-.2458131
{txt}{space 12}62  {c |}{col 17}{res}{space 2}-1.269152{col 29}{space 2} .4486055{col 40}{space 1}   -2.83{col 49}{space 3}0.005{col 57}{space 4}-2.148403{col 70}{space 3}-.3899013
{txt}{space 12}69  {c |}{col 17}{res}{space 2}-1.615872{col 29}{space 2} .5926084{col 40}{space 1}   -2.73{col 49}{space 3}0.006{col 57}{space 4}-2.777363{col 70}{space 3}-.4543806
{txt}{space 12}71  {c |}{col 17}{res}{space 2}-2.303136{col 29}{space 2} .7774441{col 40}{space 1}   -2.96{col 49}{space 3}0.003{col 57}{space 4}-3.826899{col 70}{space 3}-.7793736
{txt}{space 12}78  {c |}{col 17}{res}{space 2}-.8895186{col 29}{space 2} .5928851{col 40}{space 1}   -1.50{col 49}{space 3}0.134{col 57}{space 4}-2.051552{col 70}{space 3} .2725148
{txt}{space 12}82  {c |}{col 17}{res}{space 2} .5866602{col 29}{space 2} .5505813{col 40}{space 1}    1.07{col 49}{space 3}0.287{col 57}{space 4}-.4924593{col 70}{space 3}  1.66578
{txt}{space 12}85  {c |}{col 17}{res}{space 2}-.8055467{col 29}{space 2} .6595198{col 40}{space 1}   -1.22{col 49}{space 3}0.222{col 57}{space 4}-2.098182{col 70}{space 3} .4870883
{txt}{space 12}98  {c |}{col 17}{res}{space 2} .1480207{col 29}{space 2} .4385808{col 40}{space 1}    0.34{col 49}{space 3}0.736{col 57}{space 4}-.7115819{col 70}{space 3} 1.007623
{txt}{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}120  {c |}{col 17}{res}{space 2} 1.361708{col 29}{space 2} .4316601{col 40}{space 1}    3.15{col 49}{space 3}0.002{col 57}{space 4} .5156699{col 70}{space 3} 2.207747
{txt}{space 11}141  {c |}{col 17}{res}{space 2}-.8556963{col 29}{space 2} .4939538{col 40}{space 1}   -1.73{col 49}{space 3}0.083{col 57}{space 4}-1.823828{col 70}{space 3} .1124353
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-1.423851{col 29}{space 2} .5932033{col 40}{space 1}   -2.40{col 49}{space 3}0.016{col 57}{space 4}-2.586508{col 70}{space 3}-.2611942
{txt}{space 11}154  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}159  {c |}{col 17}{res}{space 2}-2.096711{col 29}{space 2} .6590793{col 40}{space 1}   -3.18{col 49}{space 3}0.001{col 57}{space 4}-3.388483{col 70}{space 3}-.8049393
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-5.818448{col 29}{space 2} .3535465{col 40}{space 1}  -16.46{col 49}{space 3}0.000{col 57}{space 4}-6.511387{col 70}{space 3} -5.12551
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}11,111{col 51}{txt}missing .:  {res}0{txt}/{res}186,735

{txt}{col 19}mean:{res}{col 26} 27485.2
{txt}{col 15}std. dev:{res}{col 26} 15713.3

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6415{col 37}   14048{col 47}   26686{col 57}   41447{col 67}   49674

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}64{col 51}{txt}missing .:  {res}0{txt}/{res}186,735

{txt}{col 19}mean:{res}{col 26} 433.674
{txt}{col 15}std. dev:{res}{col 26} 237.289

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     235{col 47}     437{col 57}     640{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}85{col 51}{txt}missing .:  {res}0{txt}/{res}186,735

{txt}{col 19}mean:{res}{col 26} 284.013
{txt}{col 15}std. dev:{res}{col 26} 132.371

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     302{col 57}     395{col 67}     436
{txt}
{com}. 
. *** Model 4 ***
. 
. logit major_frev $ind $time i.gwf_caseid if same==0

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4440 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1164 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3348 obs not used

note: 154.gwf_caseid != 0 predicts failure perfectly
      154.gwf_caseid dropped and 376 obs not used

note: 182.gwf_caseid != 0 predicts failure perfectly
      182.gwf_caseid dropped and 172 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 2898 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 178 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 120 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 778 obs not used

note: 472.gwf_caseid != 0 predicts failure perfectly
      472.gwf_caseid dropped and 19 obs not used

note: 505.gwf_caseid != 0 predicts failure perfectly
      505.gwf_caseid dropped and 187 obs not used

note: 508.gwf_caseid != 0 predicts failure perfectly
      508.gwf_caseid dropped and 1512 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3688.9624}  
Iteration 1:{space 3}log likelihood = {res:-3389.0354}  
Iteration 2:{space 3}log likelihood = {res:-3096.1251}  
Iteration 3:{space 3}log likelihood = {res:-3093.2147}  (backed up)
Iteration 4:{space 3}log likelihood = {res:-2992.4877}  
Iteration 5:{space 3}log likelihood = {res:-2988.2659}  
Iteration 6:{space 3}log likelihood = {res:-2988.2424}  
Iteration 7:{space 3}log likelihood = {res:-2988.2424}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   182,351
{txt}{col 49}LR chi2({res}87{txt}){col 67}= {res}   1401.44
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2988.2424{txt}{col 49}Pseudo R2{col 67}= {res}    0.1900

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} .6877051{col 29}{space 2} .1755736{col 40}{space 1}    3.92{col 49}{space 3}0.000{col 57}{space 4} .3435871{col 70}{space 3} 1.031823
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2} .0077558{col 29}{space 2} .0122692{col 40}{space 1}    0.63{col 49}{space 3}0.527{col 57}{space 4}-.0162914{col 70}{space 3}  .031803
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .3057332{col 29}{space 2} .1123196{col 40}{space 1}    2.72{col 49}{space 3}0.006{col 57}{space 4} .0855909{col 70}{space 3} .5258755
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.8907467{col 29}{space 2} .2793557{col 40}{space 1}   -3.19{col 49}{space 3}0.001{col 57}{space 4}-1.438274{col 70}{space 3}-.3432195
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2}-.0560114{col 29}{space 2} .0149967{col 40}{space 1}   -3.73{col 49}{space 3}0.000{col 57}{space 4}-.0854044{col 70}{space 3}-.0266184
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.1293861{col 29}{space 2} .0078643{col 40}{space 1}  -16.45{col 49}{space 3}0.000{col 57}{space 4}-.1447999{col 70}{space 3}-.1139722
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{space 10}_cons {c |}{col 17}{res}{space 2} -4.46141{col 29}{space 2} .5334708{col 40}{space 1}   -8.36{col 49}{space 3}0.000{col 57}{space 4}-5.506993{col 70}{space 3}-3.415826
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}10,830{col 51}{txt}missing .:  {res}0{txt}/{res}182,351

{txt}{col 19}mean:{res}{col 26} 27497.4
{txt}{col 15}std. dev:{res}{col 26} 15677.5

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6538{col 37}   14068{col 47}   26631{col 57}   41445{col 67}   49684

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}63{col 51}{txt}missing .:  {res}0{txt}/{res}182,351

{txt}{col 19}mean:{res}{col 26} 427.867
{txt}{col 15}std. dev:{res}{col 26} 236.575

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     235{col 47}     436{col 57}     616{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}82{col 51}{txt}missing .:  {res}0{txt}/{res}182,351

{txt}{col 19}mean:{res}{col 26}  285.74
{txt}{col 15}std. dev:{res}{col 26} 132.162

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     304{col 57}     395{col 67}     436
{txt}
{com}. 
. *** Model 5 ***
. 
. logit major_frev $ind female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid if same==0

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4403 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1164 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3348 obs not used

note: 154.gwf_caseid != 0 predicts failure perfectly
      154.gwf_caseid dropped and 376 obs not used

note: 182.gwf_caseid != 0 predicts failure perfectly
      182.gwf_caseid dropped and 172 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 2898 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 178 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 120 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 778 obs not used

note: 472.gwf_caseid != 0 predicts failure perfectly
      472.gwf_caseid dropped and 19 obs not used

note: 505.gwf_caseid != 0 predicts failure perfectly
      505.gwf_caseid dropped and 187 obs not used

note: 508.gwf_caseid != 0 predicts failure perfectly
      508.gwf_caseid dropped and 1512 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 490.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3687.2453}  
Iteration 1:{space 3}log likelihood = {res: -3366.793}  
Iteration 2:{space 3}log likelihood = {res:-3079.3857}  
Iteration 3:{space 3}log likelihood = {res:-3076.6268}  
Iteration 4:{space 3}log likelihood = {res:-2980.8351}  
Iteration 5:{space 3}log likelihood = {res:-2978.2175}  
Iteration 6:{space 3}log likelihood = {res:-2976.0206}  
Iteration 7:{space 3}log likelihood = {res:-2976.0138}  
Iteration 8:{space 3}log likelihood = {res:-2976.0138}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   181,774
{txt}{col 49}LR chi2({res}93{txt}){col 67}= {res}   1422.46
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2976.0138{txt}{col 49}Pseudo R2{col 67}= {res}    0.1929

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} .6834906{col 31}{space 2} .1756277{col 42}{space 1}    3.89{col 51}{space 3}0.000{col 59}{space 4} .3392667{col 72}{space 3} 1.027715
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2} .0072219{col 31}{space 2} .0122978{col 42}{space 1}    0.59{col 51}{space 3}0.557{col 59}{space 4}-.0168814{col 72}{space 3} .0313251
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .3002812{col 31}{space 2} .1126301{col 42}{space 1}    2.67{col 51}{space 3}0.008{col 59}{space 4} .0795303{col 72}{space 3} .5210321
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.8914728{col 31}{space 2} .2794946{col 42}{space 1}   -3.19{col 51}{space 3}0.001{col 59}{space 4}-1.439272{col 72}{space 3}-.3436733
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0926254{col 31}{space 2} .1915561{col 42}{space 1}   -0.48{col 51}{space 3}0.629{col 59}{space 4}-.4680684{col 72}{space 3} .2828175
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2}-.8587168{col 31}{space 2} .2750262{col 42}{space 1}   -3.12{col 51}{space 3}0.002{col 59}{space 4}-1.397758{col 72}{space 3}-.3196753
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2}-.8559058{col 31}{space 2} .2924478{col 42}{space 1}   -2.93{col 51}{space 3}0.003{col 59}{space 4}-1.429093{col 72}{space 3}-.2827187
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-1.073896{col 31}{space 2} 1.428623{col 42}{space 1}   -0.75{col 51}{space 3}0.452{col 59}{space 4}-3.873946{col 72}{space 3} 1.726154
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-1.669519{col 31}{space 2}  .818991{col 42}{space 1}   -2.04{col 51}{space 3}0.041{col 59}{space 4}-3.274712{col 72}{space 3}-.0643266
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}-1.019467{col 31}{space 2}  .728607{col 42}{space 1}   -1.40{col 51}{space 3}0.162{col 59}{space 4}-2.447511{col 72}{space 3}  .408576
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}  .463324{col 31}{space 2} .4899757{col 42}{space 1}    0.95{col 51}{space 3}0.344{col 59}{space 4}-.4970107{col 72}{space 3} 1.423659
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-1.180929{col 31}{space 2} .8052547{col 42}{space 1}   -1.47{col 51}{space 3}0.143{col 59}{space 4}-2.759199{col 72}{space 3} .3973416
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} -.845588{col 31}{space 2} 1.218828{col 42}{space 1}   -0.69{col 51}{space 3}0.488{col 59}{space 4}-3.234448{col 72}{space 3} 1.543272
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2}-.0535189{col 31}{space 2} .0338361{col 42}{space 1}   -1.58{col 51}{space 3}0.114{col 59}{space 4}-.1198364{col 72}{space 3} .0127985
{txt}{space 4}yr_since_exit {c |}{col 19}{res}{space 2}-.1292593{col 31}{space 2} .0078645{col 42}{space 1}  -16.44{col 51}{space 3}0.000{col 59}{space 4}-.1446734{col 72}{space 3}-.1138452
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
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{txt}{space 13}472  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}490  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}505  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 1.881911{col 31}{space 2} 13.92054{col 42}{space 1}    0.14{col 51}{space 3}0.892{col 59}{space 4}-25.40185{col 72}{space 3} 29.16568
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}10,804{col 51}{txt}missing .:  {res}0{txt}/{res}181,774

{txt}{col 19}mean:{res}{col 26} 27495.7
{txt}{col 15}std. dev:{res}{col 26} 15677.4

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6528{col 37}   14080{col 47}   26631{col 57}   41447{col 67}   49674

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}63{col 51}{txt}missing .:  {res}0{txt}/{res}181,774

{txt}{col 19}mean:{res}{col 26} 427.384
{txt}{col 15}std. dev:{res}{col 26} 236.651

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     235{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}82{col 51}{txt}missing .:  {res}0{txt}/{res}181,774

{txt}{col 19}mean:{res}{col 26} 285.326
{txt}{col 15}std. dev:{res}{col 26} 132.086

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     304{col 57}     395{col 67}     436
{txt}
{com}. 
. 
. *** Table A13 ***
. 
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. *** Model 1 ***
. 
. logit major_frev $ind i.gwf_caseid if same2==0

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 109 obs not used

note: 27.gwf_caseid != 0 predicts failure perfectly
      27.gwf_caseid dropped and 171 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 1 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 94 obs not used

note: 182.gwf_caseid != 0 predicts failure perfectly
      182.gwf_caseid dropped and 89 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 60 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 178 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 30 obs not used

note: 395.gwf_caseid != 0 predicts failure perfectly
      395.gwf_caseid dropped and 184 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 359 obs not used

note: 411.gwf_caseid != 0 predicts failure perfectly
      411.gwf_caseid dropped and 345 obs not used

note: 505.gwf_caseid != 0 predicts failure perfectly
      505.gwf_caseid dropped and 30 obs not used

note: 508.gwf_caseid != 0 predicts failure perfectly
      508.gwf_caseid dropped and 34 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -2002.622}  
Iteration 1:{space 3}log likelihood = {res:-1952.2658}  
Iteration 2:{space 3}log likelihood = {res:-1845.9875}  
Iteration 3:{space 3}log likelihood = {res:-1844.6198}  
Iteration 4:{space 3}log likelihood = {res:-1844.5373}  
Iteration 5:{space 3}log likelihood = {res:-1844.5371}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    12,323
{txt}{col 49}LR chi2({res}86{txt}){col 67}= {res}    316.17
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1844.5371{txt}{col 49}Pseudo R2{col 67}= {res}    0.0789

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} .5104347{col 29}{space 2} .1715833{col 40}{space 1}    2.97{col 49}{space 3}0.003{col 57}{space 4} .1741376{col 70}{space 3} .8467318
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.0239995{col 29}{space 2} .0163365{col 40}{space 1}   -1.47{col 49}{space 3}0.142{col 57}{space 4}-.0560185{col 70}{space 3} .0080194
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .3382812{col 29}{space 2} .1245324{col 40}{space 1}    2.72{col 49}{space 3}0.007{col 57}{space 4} .0942021{col 70}{space 3} .5823603
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.8390387{col 29}{space 2}  .305059{col 40}{space 1}   -2.75{col 49}{space 3}0.006{col 57}{space 4}-1.436943{col 70}{space 3} -.241134
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{txt}{space 11}376  {c |}{col 17}{res}{space 2} .7883214{col 29}{space 2} .5841288{col 40}{space 1}    1.35{col 49}{space 3}0.177{col 57}{space 4}-.3565501{col 70}{space 3} 1.933193
{txt}{space 11}380  {c |}{col 17}{res}{space 2} .9204386{col 29}{space 2} .8158699{col 40}{space 1}    1.13{col 49}{space 3}0.259{col 57}{space 4}-.6786371{col 70}{space 3} 2.519514
{txt}{space 11}387  {c |}{col 17}{res}{space 2} .2172432{col 29}{space 2} .8035491{col 40}{space 1}    0.27{col 49}{space 3}0.787{col 57}{space 4}-1.357684{col 70}{space 3}  1.79217
{txt}{space 11}390  {c |}{col 17}{res}{space 2}-.4422556{col 29}{space 2} .7983571{col 40}{space 1}   -0.55{col 49}{space 3}0.580{col 57}{space 4}-2.007007{col 70}{space 3} 1.122496
{txt}{space 11}393  {c |}{col 17}{res}{space 2} .3220605{col 29}{space 2} .8049674{col 40}{space 1}    0.40{col 49}{space 3}0.689{col 57}{space 4}-1.255647{col 70}{space 3} 1.899768
{txt}{space 11}395  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}398  {c |}{col 17}{res}{space 2} .1151222{col 29}{space 2} 1.076997{col 40}{space 1}    0.11{col 49}{space 3}0.915{col 57}{space 4}-1.995752{col 70}{space 3} 2.225997
{txt}{space 11}401  {c |}{col 17}{res}{space 2}-.6519384{col 29}{space 2} .7973124{col 40}{space 1}   -0.82{col 49}{space 3}0.414{col 57}{space 4}-2.214642{col 70}{space 3} .9107652
{txt}{space 11}402  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}409  {c |}{col 17}{res}{space 2} 1.022913{col 29}{space 2} .4989698{col 40}{space 1}    2.05{col 49}{space 3}0.040{col 57}{space 4} .0449499{col 70}{space 3} 2.000875
{txt}{space 11}411  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}417  {c |}{col 17}{res}{space 2} .8099337{col 29}{space 2} .4842374{col 40}{space 1}    1.67{col 49}{space 3}0.094{col 57}{space 4}-.1391542{col 70}{space 3} 1.759021
{txt}{space 11}419  {c |}{col 17}{res}{space 2} .7251633{col 29}{space 2}  .495711{col 40}{space 1}    1.46{col 49}{space 3}0.144{col 57}{space 4}-.2464123{col 70}{space 3} 1.696739
{txt}{space 11}428  {c |}{col 17}{res}{space 2}-.9821005{col 29}{space 2} 1.067736{col 40}{space 1}   -0.92{col 49}{space 3}0.358{col 57}{space 4}-3.074824{col 70}{space 3} 1.110623
{txt}{space 11}436  {c |}{col 17}{res}{space 2}-.4760764{col 29}{space 2} 1.070388{col 40}{space 1}   -0.44{col 49}{space 3}0.656{col 57}{space 4}-2.573998{col 70}{space 3} 1.621845
{txt}{space 11}439  {c |}{col 17}{res}{space 2} 1.818151{col 29}{space 2} .6015988{col 40}{space 1}    3.02{col 49}{space 3}0.003{col 57}{space 4} .6390391{col 70}{space 3} 2.997263
{txt}{space 11}441  {c |}{col 17}{res}{space 2} 2.002319{col 29}{space 2}  .446475{col 40}{space 1}    4.48{col 49}{space 3}0.000{col 57}{space 4} 1.127245{col 70}{space 3} 2.877394
{txt}{space 11}448  {c |}{col 17}{res}{space 2}-.3924891{col 29}{space 2} .6844595{col 40}{space 1}   -0.57{col 49}{space 3}0.566{col 57}{space 4}-1.734005{col 70}{space 3} .9490269
{txt}{space 11}464  {c |}{col 17}{res}{space 2}-.0482962{col 29}{space 2} .6218801{col 40}{space 1}   -0.08{col 49}{space 3}0.938{col 57}{space 4}-1.267159{col 70}{space 3} 1.170566
{txt}{space 11}472  {c |}{col 17}{res}{space 2} 1.491435{col 29}{space 2} .8269198{col 40}{space 1}    1.80{col 49}{space 3}0.071{col 57}{space 4}-.1292978{col 70}{space 3} 3.112168
{txt}{space 11}474  {c |}{col 17}{res}{space 2} 1.094271{col 29}{space 2} .4774481{col 40}{space 1}    2.29{col 49}{space 3}0.022{col 57}{space 4} .1584902{col 70}{space 3} 2.030052
{txt}{space 11}476  {c |}{col 17}{res}{space 2} 1.029392{col 29}{space 2} .4772449{col 40}{space 1}    2.16{col 49}{space 3}0.031{col 57}{space 4} .0940091{col 70}{space 3} 1.964775
{txt}{space 11}478  {c |}{col 17}{res}{space 2}-.7647725{col 29}{space 2} .7975067{col 40}{space 1}   -0.96{col 49}{space 3}0.338{col 57}{space 4}-2.327857{col 70}{space 3} .7983119
{txt}{space 11}483  {c |}{col 17}{res}{space 2}-.9804707{col 29}{space 2} .7967615{col 40}{space 1}   -1.23{col 49}{space 3}0.218{col 57}{space 4}-2.542095{col 70}{space 3} .5811532
{txt}{space 11}490  {c |}{col 17}{res}{space 2} 2.102235{col 29}{space 2} .8608984{col 40}{space 1}    2.44{col 49}{space 3}0.015{col 57}{space 4}  .414905{col 70}{space 3} 3.789565
{txt}{space 11}505  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}508  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}525  {c |}{col 17}{res}{space 2} .0042753{col 29}{space 2} .6867214{col 40}{space 1}    0.01{col 49}{space 3}0.995{col 57}{space 4}-1.341674{col 70}{space 3} 1.350225
{txt}{space 11}527  {c |}{col 17}{res}{space 2}-.2864514{col 29}{space 2} .6195981{col 40}{space 1}   -0.46{col 49}{space 3}0.644{col 57}{space 4}-1.500841{col 70}{space 3} .9279387
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.124378{col 29}{space 2} .3943881{col 40}{space 1}  -10.46{col 49}{space 3}0.000{col 57}{space 4}-4.897364{col 70}{space 3}-3.351392
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55804{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}10,047{col 51}{txt}missing .:  {res}0{txt}/{res}12,323

{txt}{col 19}mean:{res}{col 26} 27042.5
{txt}{col 15}std. dev:{res}{col 26} 16114.4

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4708{col 37}   12770{col 47}   26860{col 57}   41288{col 67}   49157

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}62{col 51}{txt}missing .:  {res}0{txt}/{res}12,323

{txt}{col 19}mean:{res}{col 26}  503.16
{txt}{col 15}std. dev:{res}{col 26} 221.278

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      95{col 37}     432{col 47}     482{col 57}     700{col 67}     790

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}83{col 51}{txt}missing .:  {res}0{txt}/{res}12,323

{txt}{col 19}mean:{res}{col 26}  274.39
{txt}{col 15}std. dev:{res}{col 26} 136.963

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     284{col 57}     367{col 67}     464
{txt}
{com}. 
. *** Model 2 ***
. 
. logit major_frev $ind female dem_const coldwar $pre $macro i.gwf_caseid if same2==0

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 108 obs not used

note: 27.gwf_caseid != 0 predicts failure perfectly
      27.gwf_caseid dropped and 171 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 1 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 94 obs not used

note: 182.gwf_caseid != 0 predicts failure perfectly
      182.gwf_caseid dropped and 89 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 60 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 178 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 30 obs not used

note: 395.gwf_caseid != 0 predicts failure perfectly
      395.gwf_caseid dropped and 184 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 359 obs not used

note: 411.gwf_caseid != 0 predicts failure perfectly
      411.gwf_caseid dropped and 341 obs not used

note: 505.gwf_caseid != 0 predicts failure perfectly
      505.gwf_caseid dropped and 30 obs not used

note: 508.gwf_caseid != 0 predicts failure perfectly
      508.gwf_caseid dropped and 34 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 490.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2001.4489}  
Iteration 1:{space 3}log likelihood = {res:-1489.8008}  
Iteration 2:{space 3}log likelihood = {res:-1486.8876}  
Iteration 3:{space 3}log likelihood = {res:-1305.3636}  
Iteration 4:{space 3}log likelihood = {res:-1244.8097}  
Iteration 5:{space 3}log likelihood = {res: -1182.478}  
Iteration 6:{space 3}log likelihood = {res:-1148.9791}  
Iteration 7:{space 3}log likelihood = {res:-1146.3931}  
Iteration 8:{space 3}log likelihood = {res:-1145.1928}  
Iteration 9:{space 3}log likelihood = {res:-1145.0947}  
Iteration 10:{space 2}log likelihood = {res:-1145.0923}  
Iteration 11:{space 2}log likelihood = {res:-1145.0923}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    12,293
{txt}{col 49}LR chi2({res}92{txt}){col 67}= {res}   1712.71
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1145.0923{txt}{col 49}Pseudo R2{col 67}= {res}    0.4279

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} .7444459{col 31}{space 2} .2206224{col 42}{space 1}    3.37{col 51}{space 3}0.001{col 59}{space 4}  .312034{col 72}{space 3} 1.176858
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.0372689{col 31}{space 2}  .021014{col 42}{space 1}   -1.77{col 51}{space 3}0.076{col 59}{space 4}-.0784556{col 72}{space 3} .0039179
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2327439{col 31}{space 2} .1667482{col 42}{space 1}    1.40{col 51}{space 3}0.163{col 59}{space 4}-.0940766{col 72}{space 3} .5595645
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2} -.336388{col 31}{space 2} .3612249{col 42}{space 1}   -0.93{col 51}{space 3}0.352{col 59}{space 4}-1.044376{col 72}{space 3} .3715997
{txt}{space 11}female {c |}{col 19}{res}{space 2} .5575356{col 31}{space 2} .2426875{col 42}{space 1}    2.30{col 51}{space 3}0.022{col 59}{space 4} .0818769{col 72}{space 3} 1.033194
{txt}{space 8}dem_const {c |}{col 19}{res}{space 2}-1.619831{col 31}{space 2} .7591965{col 42}{space 1}   -2.13{col 51}{space 3}0.033{col 59}{space 4}-3.107829{col 72}{space 3}-.1318332
{txt}{space 10}coldwar {c |}{col 19}{res}{space 2}-4.623789{col 31}{space 2} 1.118594{col 42}{space 1}   -4.13{col 51}{space 3}0.000{col 59}{space 4}-6.816193{col 72}{space 3}-2.431386
{txt}prev_gwf_military {c |}{col 19}{res}{space 2} 59.13929{col 31}{space 2} 4.039735{col 42}{space 1}   14.64{col 51}{space 3}0.000{col 59}{space 4} 51.22155{col 72}{space 3} 67.05702
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-33.60431{col 31}{space 2} 2.716625{col 42}{space 1}  -12.37{col 51}{space 3}0.000{col 59}{space 4} -38.9288{col 72}{space 3}-28.27982
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2} 12.01928{col 31}{space 2} 1.434555{col 42}{space 1}    8.38{col 51}{space 3}0.000{col 59}{space 4} 9.207603{col 72}{space 3} 14.83096
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}-10.29403{col 31}{space 2} 1.763387{col 42}{space 1}   -5.84{col 51}{space 3}0.000{col 59}{space 4}-13.75021{col 72}{space 3}-6.837859
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-24.77716{col 31}{space 2} 6.806103{col 42}{space 1}   -3.64{col 51}{space 3}0.000{col 59}{space 4}-38.11688{col 72}{space 3}-11.43745
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} -64.8851{col 31}{space 2} 3.868829{col 42}{space 1}  -16.77{col 51}{space 3}0.000{col 59}{space 4}-72.46787{col 72}{space 3}-57.30234
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2}-97.78714{col 31}{space 2}  6.71861{col 42}{space 1}  -14.55{col 51}{space 3}0.000{col 59}{space 4}-110.9554{col 72}{space 3}-84.61891
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} 78.62789{col 31}{space 2} 4.990891{col 42}{space 1}   15.75{col 51}{space 3}0.000{col 59}{space 4} 68.84593{col 72}{space 3} 88.40986
{txt}{space 14}38  {c |}{col 19}{res}{space 2} 50.52871{col 31}{space 2} 5.223664{col 42}{space 1}    9.67{col 51}{space 3}0.000{col 59}{space 4} 40.29052{col 72}{space 3}  60.7669
{txt}{space 14}51  {c |}{col 19}{res}{space 2}-104.6047{col 31}{space 2} 11.52287{col 42}{space 1}   -9.08{col 51}{space 3}0.000{col 59}{space 4}-127.1891{col 72}{space 3}-82.02031
{txt}{space 14}62  {c |}{col 19}{res}{space 2}-139.3839{col 31}{space 2} 11.89968{col 42}{space 1}  -11.71{col 51}{space 3}0.000{col 59}{space 4}-162.7068{col 72}{space 3}-116.0609
{txt}{space 14}69  {c |}{col 19}{res}{space 2} 71.93397{col 31}{space 2} 5.638738{col 42}{space 1}   12.76{col 51}{space 3}0.000{col 59}{space 4} 60.88224{col 72}{space 3} 82.98569
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-31.16171{col 31}{space 2} 3.829434{col 42}{space 1}   -8.14{col 51}{space 3}0.000{col 59}{space 4}-38.66726{col 72}{space 3}-23.65615
{txt}{space 14}78  {c |}{col 19}{res}{space 2}-41.11677{col 31}{space 2} 2.351422{col 42}{space 1}  -17.49{col 51}{space 3}0.000{col 59}{space 4}-45.72547{col 72}{space 3}-36.50806
{txt}{space 14}82  {c |}{col 19}{res}{space 2}-167.9456{col 31}{space 2} 9.079912{col 42}{space 1}  -18.50{col 51}{space 3}0.000{col 59}{space 4}-185.7419{col 72}{space 3}-150.1493
{txt}{space 14}85  {c |}{col 19}{res}{space 2}-155.1572{col 31}{space 2} 8.370364{col 42}{space 1}  -18.54{col 51}{space 3}0.000{col 59}{space 4}-171.5628{col 72}{space 3}-138.7516
{txt}{space 14}98  {c |}{col 19}{res}{space 2}-203.9059{col 31}{space 2} 11.21846{col 42}{space 1}  -18.18{col 51}{space 3}0.000{col 59}{space 4}-225.8936{col 72}{space 3}-181.9181
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2}-121.2103{col 31}{space 2} 6.927215{col 42}{space 1}  -17.50{col 51}{space 3}0.000{col 59}{space 4}-134.7874{col 72}{space 3}-107.6332
{txt}{space 13}141  {c |}{col 19}{res}{space 2} -84.0584{col 31}{space 2} 9.819269{col 42}{space 1}   -8.56{col 51}{space 3}0.000{col 59}{space 4}-103.3038{col 72}{space 3}-64.81298
{txt}{space 13}150  {c |}{col 19}{res}{space 2}-108.5069{col 31}{space 2} 19.81581{col 42}{space 1}   -5.48{col 51}{space 3}0.000{col 59}{space 4}-147.3452{col 72}{space 3}-69.66866
{txt}{space 13}154  {c |}{col 19}{res}{space 2} 26.85053{col 31}{space 2}  2.59688{col 42}{space 1}   10.34{col 51}{space 3}0.000{col 59}{space 4} 21.76074{col 72}{space 3} 31.94033
{txt}{space 13}159  {c |}{col 19}{res}{space 2}-149.9021{col 31}{space 2} 8.696623{col 42}{space 1}  -17.24{col 51}{space 3}0.000{col 59}{space 4}-166.9471{col 72}{space 3} -132.857
{txt}{space 13}170  {c |}{col 19}{res}{space 2}-176.7394{col 31}{space 2} 10.57715{col 42}{space 1}  -16.71{col 51}{space 3}0.000{col 59}{space 4}-197.4702{col 72}{space 3}-156.0086
{txt}{space 13}174  {c |}{col 19}{res}{space 2} -121.925{col 31}{space 2} 9.000009{col 42}{space 1}  -13.55{col 51}{space 3}0.000{col 59}{space 4}-139.5647{col 72}{space 3}-104.2853
{txt}{space 13}180  {c |}{col 19}{res}{space 2}-127.3529{col 31}{space 2} 6.899204{col 42}{space 1}  -18.46{col 51}{space 3}0.000{col 59}{space 4}-140.8751{col 72}{space 3}-113.8307
{txt}{space 13}182  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}184  {c |}{col 19}{res}{space 2}-24.48053{col 31}{space 2}  5.99685{col 42}{space 1}   -4.08{col 51}{space 3}0.000{col 59}{space 4}-36.23414{col 72}{space 3}-12.72692
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}196  {c |}{col 19}{res}{space 2}-105.5059{col 31}{space 2} 6.365424{col 42}{space 1}  -16.57{col 51}{space 3}0.000{col 59}{space 4}-117.9819{col 72}{space 3}-93.02992
{txt}{space 13}200  {c |}{col 19}{res}{space 2} -222.523{col 31}{space 2} 12.97265{col 42}{space 1}  -17.15{col 51}{space 3}0.000{col 59}{space 4}-247.9489{col 72}{space 3} -197.097
{txt}{space 13}203  {c |}{col 19}{res}{space 2}-209.1105{col 31}{space 2} 12.24807{col 42}{space 1}  -17.07{col 51}{space 3}0.000{col 59}{space 4}-233.1163{col 72}{space 3}-185.1048
{txt}{space 13}205  {c |}{col 19}{res}{space 2}-241.9481{col 31}{space 2} 13.23926{col 42}{space 1}  -18.28{col 51}{space 3}0.000{col 59}{space 4}-267.8966{col 72}{space 3}-215.9996
{txt}{space 13}209  {c |}{col 19}{res}{space 2}-74.73559{col 31}{space 2} 4.330917{col 42}{space 1}  -17.26{col 51}{space 3}0.000{col 59}{space 4}-83.22403{col 72}{space 3}-66.24715
{txt}{space 13}217  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}219  {c |}{col 19}{res}{space 2} -145.348{col 31}{space 2} 7.954254{col 42}{space 1}  -18.27{col 51}{space 3}0.000{col 59}{space 4} -160.938{col 72}{space 3}-129.7579
{txt}{space 13}222  {c |}{col 19}{res}{space 2}-81.26609{col 31}{space 2} 4.816924{col 42}{space 1}  -16.87{col 51}{space 3}0.000{col 59}{space 4}-90.70709{col 72}{space 3} -71.8251
{txt}{space 13}227  {c |}{col 19}{res}{space 2}-110.1765{col 31}{space 2} 6.440103{col 42}{space 1}  -17.11{col 51}{space 3}0.000{col 59}{space 4}-122.7989{col 72}{space 3}-97.55411
{txt}{space 13}229  {c |}{col 19}{res}{space 2}-161.4764{col 31}{space 2} 9.476922{col 42}{space 1}  -17.04{col 51}{space 3}0.000{col 59}{space 4}-180.0508{col 72}{space 3}-142.9019
{txt}{space 13}232  {c |}{col 19}{res}{space 2}-10.97152{col 31}{space 2} 3.382111{col 42}{space 1}   -3.24{col 51}{space 3}0.001{col 59}{space 4}-17.60033{col 72}{space 3}-4.342702
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{txt}{space 13}248  {c |}{col 19}{res}{space 2} 68.52369{col 31}{space 2} 3.733283{col 42}{space 1}   18.35{col 51}{space 3}0.000{col 59}{space 4} 61.20659{col 72}{space 3}  75.8408
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{txt}{space 13}336  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
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{txt}{space 13}354  {c |}{col 19}{res}{space 2} 16.54572{col 31}{space 2} 2.499281{col 42}{space 1}    6.62{col 51}{space 3}0.000{col 59}{space 4} 11.64722{col 72}{space 3} 21.44422
{txt}{space 13}357  {c |}{col 19}{res}{space 2} 55.66484{col 31}{space 2} 4.902048{col 42}{space 1}   11.36{col 51}{space 3}0.000{col 59}{space 4} 46.05701{col 72}{space 3} 65.27268
{txt}{space 13}362  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}365  {c |}{col 19}{res}{space 2} 34.79924{col 31}{space 2} 4.332506{col 42}{space 1}    8.03{col 51}{space 3}0.000{col 59}{space 4} 26.30768{col 72}{space 3} 43.29079
{txt}{space 13}367  {c |}{col 19}{res}{space 2} 73.81957{col 31}{space 2} 5.494097{col 42}{space 1}   13.44{col 51}{space 3}0.000{col 59}{space 4} 63.05134{col 72}{space 3}  84.5878
{txt}{space 13}376  {c |}{col 19}{res}{space 2}-188.8085{col 31}{space 2} 19.12567{col 42}{space 1}   -9.87{col 51}{space 3}0.000{col 59}{space 4}-226.2941{col 72}{space 3}-151.3229
{txt}{space 13}380  {c |}{col 19}{res}{space 2}-72.60402{col 31}{space 2} 4.997915{col 42}{space 1}  -14.53{col 51}{space 3}0.000{col 59}{space 4}-82.39975{col 72}{space 3}-62.80829
{txt}{space 13}387  {c |}{col 19}{res}{space 2}-76.66499{col 31}{space 2} 4.404292{col 42}{space 1}  -17.41{col 51}{space 3}0.000{col 59}{space 4}-85.29725{col 72}{space 3}-68.03274
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{txt}{space 13}395  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}398  {c |}{col 19}{res}{space 2}-58.08146{col 31}{space 2} 6.620955{col 42}{space 1}   -8.77{col 51}{space 3}0.000{col 59}{space 4} -71.0583{col 72}{space 3}-45.10463
{txt}{space 13}401  {c |}{col 19}{res}{space 2} 33.70584{col 31}{space 2} 2.326157{col 42}{space 1}   14.49{col 51}{space 3}0.000{col 59}{space 4} 29.14666{col 72}{space 3} 38.26503
{txt}{space 13}402  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}411  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}436  {c |}{col 19}{res}{space 2} 35.72485{col 31}{space 2}  4.30404{col 42}{space 1}    8.30{col 51}{space 3}0.000{col 59}{space 4} 27.28909{col 72}{space 3} 44.16062
{txt}{space 13}439  {c |}{col 19}{res}{space 2} 18.07094{col 31}{space 2} 1.201614{col 42}{space 1}   15.04{col 51}{space 3}0.000{col 59}{space 4} 15.71582{col 72}{space 3} 20.42606
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{txt}{space 13}448  {c |}{col 19}{res}{space 2}-70.45785{col 31}{space 2} 4.136251{col 42}{space 1}  -17.03{col 51}{space 3}0.000{col 59}{space 4}-78.56475{col 72}{space 3}-62.35094
{txt}{space 13}464  {c |}{col 19}{res}{space 2} 49.02011{col 31}{space 2} 4.223735{col 42}{space 1}   11.61{col 51}{space 3}0.000{col 59}{space 4} 40.74174{col 72}{space 3} 57.29848
{txt}{space 13}472  {c |}{col 19}{res}{space 2}-23.35069{col 31}{space 2} 2.933562{col 42}{space 1}   -7.96{col 51}{space 3}0.000{col 59}{space 4}-29.10037{col 72}{space 3}-17.60102
{txt}{space 13}474  {c |}{col 19}{res}{space 2} .6908532{col 31}{space 2} 1.894597{col 42}{space 1}    0.36{col 51}{space 3}0.715{col 59}{space 4}-3.022489{col 72}{space 3} 4.404195
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{txt}{space 13}490  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}505  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 740.5203{col 31}{space 2} 39.58624{col 42}{space 1}   18.71{col 51}{space 3}0.000{col 59}{space 4} 662.9327{col 72}{space 3} 818.1079
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 3 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55804{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}10,025{col 51}{txt}missing .:  {res}0{txt}/{res}12,293

{txt}{col 19}mean:{res}{col 26} 27045.6
{txt}{col 15}std. dev:{res}{col 26}   16121

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4705{col 37}   12765{col 47}   26859{col 57}   41301{col 67}   49157

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}62{col 51}{txt}missing .:  {res}0{txt}/{res}12,293

{txt}{col 19}mean:{res}{col 26} 503.002
{txt}{col 15}std. dev:{res}{col 26} 221.442

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      95{col 37}     432{col 47}     482{col 57}     700{col 67}     790

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}83{col 51}{txt}missing .:  {res}0{txt}/{res}12,293

{txt}{col 19}mean:{res}{col 26} 274.085
{txt}{col 15}std. dev:{res}{col 26} 136.881

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     284{col 57}     367{col 67}     464
{txt}
{com}. 
. *** TSCS Models ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. *** Model 3 ***
. 
. logit major_frev $ind i.gwf_caseid if same2==0

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 228 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4033 obs not used

note: 27.gwf_caseid != 0 predicts failure perfectly
      27.gwf_caseid dropped and 342 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 1 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 2914 obs not used

note: 182.gwf_caseid != 0 predicts failure perfectly
      182.gwf_caseid dropped and 178 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 2760 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 178 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 120 obs not used

note: 395.gwf_caseid != 0 predicts failure perfectly
      395.gwf_caseid dropped and 5674 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 717 obs not used

note: 411.gwf_caseid != 0 predicts failure perfectly
      411.gwf_caseid dropped and 6200 obs not used

note: 505.gwf_caseid != 0 predicts failure perfectly
      505.gwf_caseid dropped and 180 obs not used

note: 508.gwf_caseid != 0 predicts failure perfectly
      508.gwf_caseid dropped and 1224 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3227.1811}  
Iteration 1:{space 3}log likelihood = {res:-3148.8219}  
Iteration 2:{space 3}log likelihood = {res:-2983.5257}  
Iteration 3:{space 3}log likelihood = {res:-2983.5241}  (backed up)
Iteration 4:{space 3}log likelihood = {res:-2974.7864}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-2956.2328}  (backed up)
Iteration 6:{space 3}log likelihood = {res:-2949.7645}  
Iteration 7:{space 3}log likelihood = {res:-2932.6771}  
Iteration 8:{space 3}log likelihood = {res:-2932.2665}  
Iteration 9:{space 3}log likelihood = {res:-2932.2644}  
Iteration 10:{space 2}log likelihood = {res:-2932.2644}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   162,054
{txt}{col 49}LR chi2({res}86{txt}){col 67}= {res}    589.83
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2932.2644{txt}{col 49}Pseudo R2{col 67}= {res}    0.0914

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} .4836549{col 29}{space 2} .1679417{col 40}{space 1}    2.88{col 49}{space 3}0.004{col 57}{space 4} .1544953{col 70}{space 3} .8128145
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.0230122{col 29}{space 2} .0159518{col 40}{space 1}   -1.44{col 49}{space 3}0.149{col 57}{space 4}-.0542772{col 70}{space 3} .0082527
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .3337568{col 29}{space 2} .1202677{col 40}{space 1}    2.78{col 49}{space 3}0.006{col 57}{space 4} .0980365{col 70}{space 3} .5694772
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.8348788{col 29}{space 2} .2994239{col 40}{space 1}   -2.79{col 49}{space 3}0.005{col 57}{space 4}-1.421739{col 70}{space 3}-.2480187
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}11  {c |}{col 17}{res}{space 2}-2.214368{col 29}{space 2} 1.063183{col 40}{space 1}   -2.08{col 49}{space 3}0.037{col 57}{space 4}-4.298168{col 70}{space 3}-.1305687
{txt}{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}36  {c |}{col 17}{res}{space 2}  -.20262{col 29}{space 2} .4759708{col 40}{space 1}   -0.43{col 49}{space 3}0.670{col 57}{space 4}-1.135506{col 70}{space 3} .7302656
{txt}{space 12}38  {c |}{col 17}{res}{space 2}-.6078131{col 29}{space 2} .6786063{col 40}{space 1}   -0.90{col 49}{space 3}0.370{col 57}{space 4}-1.937857{col 70}{space 3} .7222308
{txt}{space 12}51  {c |}{col 17}{res}{space 2}-1.516105{col 29}{space 2} .6781857{col 40}{space 1}   -2.24{col 49}{space 3}0.025{col 57}{space 4}-2.845324{col 70}{space 3} -.186885
{txt}{space 12}62  {c |}{col 17}{res}{space 2}-1.123798{col 29}{space 2} .4758644{col 40}{space 1}   -2.36{col 49}{space 3}0.018{col 57}{space 4}-2.056475{col 70}{space 3}-.1911212
{txt}{space 12}69  {c |}{col 17}{res}{space 2}-1.703125{col 29}{space 2} .6780596{col 40}{space 1}   -2.51{col 49}{space 3}0.012{col 57}{space 4}-3.032097{col 70}{space 3}-.3741524
{txt}{space 12}71  {c |}{col 17}{res}{space 2}-1.960505{col 29}{space 2}  .793569{col 40}{space 1}   -2.47{col 49}{space 3}0.013{col 57}{space 4}-3.515872{col 70}{space 3}-.4051386
{txt}{space 12}78  {c |}{col 17}{res}{space 2} -.612818{col 29}{space 2} .6137233{col 40}{space 1}   -1.00{col 49}{space 3}0.318{col 57}{space 4}-1.815694{col 70}{space 3} .5900576
{txt}{space 12}82  {c |}{col 17}{res}{space 2} 1.005157{col 29}{space 2} .5432279{col 40}{space 1}    1.85{col 49}{space 3}0.064{col 57}{space 4}-.0595499{col 70}{space 3} 2.069864
{txt}{space 12}85  {c |}{col 17}{res}{space 2} -1.64825{col 29}{space 2} 1.061525{col 40}{space 1}   -1.55{col 49}{space 3}0.120{col 57}{space 4}-3.728801{col 70}{space 3} .4323003
{txt}{space 12}98  {c |}{col 17}{res}{space 2} .4217591{col 29}{space 2} .4581924{col 40}{space 1}    0.92{col 49}{space 3}0.357{col 57}{space 4}-.4762816{col 70}{space 3}   1.3198
{txt}{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}120  {c |}{col 17}{res}{space 2} 1.553658{col 29}{space 2}  .459764{col 40}{space 1}    3.38{col 49}{space 3}0.001{col 57}{space 4} .6525373{col 70}{space 3} 2.454779
{txt}{space 11}141  {c |}{col 17}{res}{space 2}-1.108352{col 29}{space 2} .6135115{col 40}{space 1}   -1.81{col 49}{space 3}0.071{col 57}{space 4}-2.310813{col 70}{space 3}  .094108
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-1.381455{col 29}{space 2} .6788656{col 40}{space 1}   -2.03{col 49}{space 3}0.042{col 57}{space 4}-2.712007{col 70}{space 3}-.0509024
{txt}{space 11}154  {c |}{col 17}{res}{space 2}-.6536676{col 29}{space 2} 1.062407{col 40}{space 1}   -0.62{col 49}{space 3}0.538{col 57}{space 4}-2.735946{col 70}{space 3} 1.428611
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-5.705999{col 29}{space 2} .3895258{col 40}{space 1}  -14.65{col 49}{space 3}0.000{col 57}{space 4}-6.469455{col 70}{space 3}-4.942542
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55804{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}10,047{col 51}{txt}missing .:  {res}0{txt}/{res}162,054

{txt}{col 19}mean:{res}{col 26} 27119.1
{txt}{col 15}std. dev:{res}{col 26}   15654

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6194{col 37}   13847{col 47}   26477{col 57}   41154{col 67}   49214

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}62{col 51}{txt}missing .:  {res}0{txt}/{res}162,054

{txt}{col 19}mean:{res}{col 26} 442.409
{txt}{col 15}std. dev:{res}{col 26} 243.932

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     450{col 57}     660{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}83{col 51}{txt}missing .:  {res}0{txt}/{res}162,054

{txt}{col 19}mean:{res}{col 26} 274.174
{txt}{col 15}std. dev:{res}{col 26} 132.562

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     184{col 47}     284{col 57}     376{col 67}     436
{txt}
{com}. 
. *** Model 4 ***
. 
. logit major_frev $ind $time i.gwf_caseid if same2==0

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4033 obs not used

note: 27.gwf_caseid != 0 predicts failure perfectly
      27.gwf_caseid dropped and 342 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1164 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 2914 obs not used

note: 154.gwf_caseid != 0 predicts failure perfectly
      154.gwf_caseid dropped and 376 obs not used

note: 182.gwf_caseid != 0 predicts failure perfectly
      182.gwf_caseid dropped and 160 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 2760 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 177 obs not used

note: 227.gwf_caseid != 0 predicts failure perfectly
      227.gwf_caseid dropped and 9 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 112 obs not used

note: 395.gwf_caseid != 0 predicts failure perfectly
      395.gwf_caseid dropped and 5674 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 708 obs not used

note: 411.gwf_caseid != 0 predicts failure perfectly
      411.gwf_caseid dropped and 6174 obs not used

note: 472.gwf_caseid != 0 predicts failure perfectly
      472.gwf_caseid dropped and 12 obs not used

note: 505.gwf_caseid != 0 predicts failure perfectly
      505.gwf_caseid dropped and 180 obs not used

note: 508.gwf_caseid != 0 predicts failure perfectly
      508.gwf_caseid dropped and 1224 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2729.0364}  
Iteration 1:{space 3}log likelihood = {res:-2507.4831}  
Iteration 2:{space 3}log likelihood = {res:-2345.9022}  
Iteration 3:{space 3}log likelihood = {res:-2295.8348}  
Iteration 4:{space 3}log likelihood = {res: -2294.103}  
Iteration 5:{space 3}log likelihood = {res:-2294.0944}  
Iteration 6:{space 3}log likelihood = {res:-2294.0944}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   157,144
{txt}{col 49}LR chi2({res}83{txt}){col 67}= {res}    869.88
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2294.0944{txt}{col 49}Pseudo R2{col 67}= {res}    0.1594

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} .4460423{col 29}{space 2} .1875221{col 40}{space 1}    2.38{col 49}{space 3}0.017{col 57}{space 4} .0785058{col 70}{space 3} .8135789
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.0073439{col 29}{space 2} .0165649{col 40}{space 1}   -0.44{col 49}{space 3}0.658{col 57}{space 4}-.0398105{col 70}{space 3} .0251226
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .2580609{col 29}{space 2} .1333775{col 40}{space 1}    1.93{col 49}{space 3}0.053{col 57}{space 4}-.0033541{col 70}{space 3}  .519476
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-1.237774{col 29}{space 2} .3984689{col 40}{space 1}   -3.11{col 49}{space 3}0.002{col 57}{space 4}-2.018758{col 70}{space 3} -.456789
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2}-.0479661{col 29}{space 2} .0162666{col 40}{space 1}   -2.95{col 49}{space 3}0.003{col 57}{space 4}-.0798481{col 70}{space 3}-.0160841
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.1099033{col 29}{space 2} .0084573{col 40}{space 1}  -13.00{col 49}{space 3}0.000{col 57}{space 4}-.1264793{col 70}{space 3}-.0933272
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} -4.71904{col 29}{space 2} .7373181{col 40}{space 1}   -6.40{col 49}{space 3}0.000{col 57}{space 4}-6.164157{col 70}{space 3}-3.273924
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55804{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}9,322{col 51}{txt}missing .:  {res}0{txt}/{res}157,144

{txt}{col 19}mean:{res}{col 26} 27122.9
{txt}{col 15}std. dev:{res}{col 26} 15605.7

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6283{col 37}   13853{col 47}   26460{col 57}   41155{col 67}   49214

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}60{col 51}{txt}missing .:  {res}0{txt}/{res}157,144

{txt}{col 19}mean:{res}{col 26} 435.223
{txt}{col 15}std. dev:{res}{col 26}  243.56

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     150{col 47}     439{col 57}     640{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}78{col 51}{txt}missing .:  {res}0{txt}/{res}157,144

{txt}{col 19}mean:{res}{col 26} 276.141
{txt}{col 15}std. dev:{res}{col 26} 132.485

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     184{col 47}     290{col 57}     387{col 67}     436
{txt}
{com}. 
. *** Model 5 ***
. 
. logit major_frev $ind female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid if same2==0

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 3996 obs not used

note: 27.gwf_caseid != 0 predicts failure perfectly
      27.gwf_caseid dropped and 342 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1164 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 2914 obs not used

note: 154.gwf_caseid != 0 predicts failure perfectly
      154.gwf_caseid dropped and 376 obs not used

note: 182.gwf_caseid != 0 predicts failure perfectly
      182.gwf_caseid dropped and 160 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 2760 obs not used

note: 217.gwf_caseid != 0 predicts failure perfectly
      217.gwf_caseid dropped and 177 obs not used

note: 227.gwf_caseid != 0 predicts failure perfectly
      227.gwf_caseid dropped and 9 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 112 obs not used

note: 395.gwf_caseid != 0 predicts failure perfectly
      395.gwf_caseid dropped and 5674 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 708 obs not used

note: 411.gwf_caseid != 0 predicts failure perfectly
      411.gwf_caseid dropped and 6102 obs not used

note: 472.gwf_caseid != 0 predicts failure perfectly
      472.gwf_caseid dropped and 12 obs not used

note: 505.gwf_caseid != 0 predicts failure perfectly
      505.gwf_caseid dropped and 180 obs not used

note: 508.gwf_caseid != 0 predicts failure perfectly
      508.gwf_caseid dropped and 1224 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 490.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res: -2727.782}  
Iteration 1:{space 3}log likelihood = {res:-2497.3761}  
Iteration 2:{space 3}log likelihood = {res:-2335.1807}  
Iteration 3:{space 3}log likelihood = {res:-2287.3849}  
Iteration 4:{space 3}log likelihood = {res:-2285.6921}  
Iteration 5:{space 3}log likelihood = {res:-2285.6737}  
Iteration 6:{space 3}log likelihood = {res:-2285.6737}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   156,640
{txt}{col 49}LR chi2({res}89{txt}){col 67}= {res}    884.22
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2285.6737{txt}{col 49}Pseudo R2{col 67}= {res}    0.1621

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} .4423203{col 31}{space 2} .1876264{col 42}{space 1}    2.36{col 51}{space 3}0.018{col 59}{space 4} .0745793{col 72}{space 3} .8100613
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.0079639{col 31}{space 2} .0165791{col 42}{space 1}   -0.48{col 51}{space 3}0.631{col 59}{space 4}-.0404584{col 72}{space 3} .0245306
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2502002{col 31}{space 2} .1336682{col 42}{space 1}    1.87{col 51}{space 3}0.061{col 59}{space 4}-.0117847{col 72}{space 3} .5121851
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-1.241532{col 31}{space 2} .3985641{col 42}{space 1}   -3.12{col 51}{space 3}0.002{col 59}{space 4}-2.022703{col 72}{space 3} -.460361
{txt}{space 11}female {c |}{col 19}{res}{space 2} -.163068{col 31}{space 2} .2264999{col 42}{space 1}   -0.72{col 51}{space 3}0.472{col 59}{space 4}-.6069997{col 72}{space 3} .2808636
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2}-.4803112{col 31}{space 2} .3348577{col 42}{space 1}   -1.43{col 51}{space 3}0.151{col 59}{space 4} -1.13662{col 72}{space 3} .1759978
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2}-.9809599{col 31}{space 2} .3367078{col 42}{space 1}   -2.91{col 51}{space 3}0.004{col 59}{space 4}-1.640895{col 72}{space 3}-.3210248
{txt}prev_gwf_military {c |}{col 19}{res}{space 2} .2219891{col 31}{space 2} 1.613793{col 42}{space 1}    0.14{col 51}{space 3}0.891{col 59}{space 4}-2.940986{col 72}{space 3} 3.384964
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-2.205216{col 31}{space 2} .9511022{col 42}{space 1}   -2.32{col 51}{space 3}0.020{col 59}{space 4}-4.069342{col 72}{space 3}-.3410902
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}-1.068538{col 31}{space 2} .9133123{col 42}{space 1}   -1.17{col 51}{space 3}0.242{col 59}{space 4}-2.858597{col 72}{space 3} .7215214
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2} .8290054{col 31}{space 2} .5452358{col 42}{space 1}    1.52{col 51}{space 3}0.128{col 59}{space 4}-.2396372{col 72}{space 3} 1.897648
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-.9541137{col 31}{space 2} .9105664{col 42}{space 1}   -1.05{col 51}{space 3}0.295{col 59}{space 4}-2.738791{col 72}{space 3} .8305637
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2}-1.528826{col 31}{space 2} 1.397524{col 42}{space 1}   -1.09{col 51}{space 3}0.274{col 59}{space 4}-4.267923{col 72}{space 3}  1.21027
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2}-.0538384{col 31}{space 2} .0376249{col 42}{space 1}   -1.43{col 51}{space 3}0.152{col 59}{space 4}-.1275817{col 72}{space 3}  .019905
{txt}{space 4}yr_since_exit {c |}{col 19}{res}{space 2}-.1102364{col 31}{space 2} .0084811{col 42}{space 1}  -13.00{col 51}{space 3}0.000{col 59}{space 4} -.126859{col 72}{space 3}-.0936139
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
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{space 13}474  {c |}{col 19}{res}{space 2} .9657084{col 31}{space 2} .8823278{col 42}{space 1}    1.09{col 51}{space 3}0.274{col 59}{space 4}-.7636222{col 72}{space 3} 2.695039
{txt}{space 13}476  {c |}{col 19}{res}{space 2}-.1209405{col 31}{space 2} .8538886{col 42}{space 1}   -0.14{col 51}{space 3}0.887{col 59}{space 4}-1.794532{col 72}{space 3}  1.55265
{txt}{space 13}478  {c |}{col 19}{res}{space 2}-.6243522{col 31}{space 2} 1.168559{col 42}{space 1}   -0.53{col 51}{space 3}0.593{col 59}{space 4}-2.914686{col 72}{space 3} 1.665982
{txt}{space 13}483  {c |}{col 19}{res}{space 2}-2.423194{col 31}{space 2} 1.098434{col 42}{space 1}   -2.21{col 51}{space 3}0.027{col 59}{space 4}-4.576085{col 72}{space 3}-.2703031
{txt}{space 13}490  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}505  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}525  {c |}{col 19}{res}{space 2}-1.275647{col 31}{space 2} 1.549473{col 42}{space 1}   -0.82{col 51}{space 3}0.410{col 59}{space 4}-4.312557{col 72}{space 3} 1.761264
{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 6.082403{col 31}{space 2} 15.79098{col 42}{space 1}    0.39{col 51}{space 3}0.700{col 59}{space 4}-24.86735{col 72}{space 3} 37.03216
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55804{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}9,300{col 51}{txt}missing .:  {res}0{txt}/{res}156,640

{txt}{col 19}mean:{res}{col 26} 27126.2
{txt}{col 15}std. dev:{res}{col 26} 15606.4

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}  6257.5{col 37}   13856{col 47}   26462{col 57}   41158{col 67}   49191

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}60{col 51}{txt}missing .:  {res}0{txt}/{res}156,640

{txt}{col 19}mean:{res}{col 26}  434.65
{txt}{col 15}std. dev:{res}{col 26} 243.639

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     150{col 47}     439{col 57}     640{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}78{col 51}{txt}missing .:  {res}0{txt}/{res}156,640

{txt}{col 19}mean:{res}{col 26} 275.689
{txt}{col 15}std. dev:{res}{col 26} 132.364

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     184{col 47}     290{col 57}     380{col 67}     436
{txt}
{com}. 
. 
. *** Table A14 ***
. 
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. *** Model 1 ***
. 
. logit major_frev $ind entry_to_trans i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 77 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 123 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3826.4508}  
Iteration 1:{space 3}log likelihood = {res:-3294.3836}  
Iteration 2:{space 3}log likelihood = {res:-3086.5802}  
Iteration 3:{space 3}log likelihood = {res: -3069.931}  
Iteration 4:{space 3}log likelihood = {res:-3067.4144}  
Iteration 5:{space 3}log likelihood = {res: -3031.408}  
Iteration 6:{space 3}log likelihood = {res: -3031.408}  
Iteration 7:{space 3}log likelihood = {res: -3031.408}  
Iteration 8:{space 3}log likelihood = {res:-2963.5386}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-2869.4884}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-2847.8097}  
Iteration 11:{space 2}log likelihood = {res:-2847.7473}  
Iteration 12:{space 2}log likelihood = {res:-2847.7473}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,758
{txt}{col 49}LR chi2({res}94{txt}){col 67}= {res}   1957.41
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2847.7473{txt}{col 49}Pseudo R2{col 67}= {res}    0.2558

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.328029{col 29}{space 2} .1565373{col 40}{space 1}    8.48{col 49}{space 3}0.000{col 57}{space 4} 1.021222{col 70}{space 3} 1.634836
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2} .0780287{col 29}{space 2} .0158638{col 40}{space 1}    4.92{col 49}{space 3}0.000{col 57}{space 4} .0469363{col 70}{space 3} .1091211
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .3176787{col 29}{space 2} .0942047{col 40}{space 1}    3.37{col 49}{space 3}0.001{col 57}{space 4} .1330409{col 70}{space 3} .5023165
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.2787483{col 29}{space 2}  .184681{col 40}{space 1}   -1.51{col 49}{space 3}0.131{col 57}{space 4}-.6407165{col 70}{space 3} .0832198
{txt}{space 1}entry_to_trans {c |}{col 17}{res}{space 2}-.1651845{col 29}{space 2} .0072629{col 40}{space 1}  -22.74{col 49}{space 3}0.000{col 57}{space 4}-.1794195{col 70}{space 3}-.1509495
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}11  {c |}{col 17}{res}{space 2}-.2302944{col 29}{space 2} .5470958{col 40}{space 1}   -0.42{col 49}{space 3}0.674{col 57}{space 4}-1.302582{col 70}{space 3} .8419936
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{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}390  {c |}{col 17}{res}{space 2}-1.431201{col 29}{space 2}  .793712{col 40}{space 1}   -1.80{col 49}{space 3}0.071{col 57}{space 4}-2.986848{col 70}{space 3} .1244461
{txt}{space 11}393  {c |}{col 17}{res}{space 2} .3780551{col 29}{space 2} .4635896{col 40}{space 1}    0.82{col 49}{space 3}0.415{col 57}{space 4}-.5305637{col 70}{space 3} 1.286674
{txt}{space 11}395  {c |}{col 17}{res}{space 2}-1.536008{col 29}{space 2} .6744404{col 40}{space 1}   -2.28{col 49}{space 3}0.023{col 57}{space 4}-2.857887{col 70}{space 3}-.2141291
{txt}{space 11}398  {c |}{col 17}{res}{space 2}-.0572828{col 29}{space 2} .5532766{col 40}{space 1}   -0.10{col 49}{space 3}0.918{col 57}{space 4}-1.141685{col 70}{space 3} 1.027119
{txt}{space 11}401  {c |}{col 17}{res}{space 2}-1.838922{col 29}{space 2} .7887367{col 40}{space 1}   -2.33{col 49}{space 3}0.020{col 57}{space 4}-3.384818{col 70}{space 3}-.2930268
{txt}{space 11}402  {c |}{col 17}{res}{space 2}-3.296729{col 29}{space 2} 1.057045{col 40}{space 1}   -3.12{col 49}{space 3}0.002{col 57}{space 4}-5.368499{col 70}{space 3}-1.224958
{txt}{space 11}409  {c |}{col 17}{res}{space 2}  1.56066{col 29}{space 2} .4008499{col 40}{space 1}    3.89{col 49}{space 3}0.000{col 57}{space 4} .7750087{col 70}{space 3} 2.346311
{txt}{space 11}411  {c |}{col 17}{res}{space 2}-1.456021{col 29}{space 2} .5648458{col 40}{space 1}   -2.58{col 49}{space 3}0.010{col 57}{space 4}-2.563098{col 70}{space 3}-.3489435
{txt}{space 11}417  {c |}{col 17}{res}{space 2} .4528375{col 29}{space 2} .4204218{col 40}{space 1}    1.08{col 49}{space 3}0.281{col 57}{space 4}-.3711742{col 70}{space 3} 1.276849
{txt}{space 11}419  {c |}{col 17}{res}{space 2} 1.156702{col 29}{space 2} .4016357{col 40}{space 1}    2.88{col 49}{space 3}0.004{col 57}{space 4} .3695108{col 70}{space 3} 1.943894
{txt}{space 11}428  {c |}{col 17}{res}{space 2} 1.309339{col 29}{space 2} .4093274{col 40}{space 1}    3.20{col 49}{space 3}0.001{col 57}{space 4} .5070722{col 70}{space 3} 2.111606
{txt}{space 11}436  {c |}{col 17}{res}{space 2}-.5828694{col 29}{space 2} .5430371{col 40}{space 1}   -1.07{col 49}{space 3}0.283{col 57}{space 4}-1.647203{col 70}{space 3} .4814637
{txt}{space 11}439  {c |}{col 17}{res}{space 2} .7760092{col 29}{space 2} .4794701{col 40}{space 1}    1.62{col 49}{space 3}0.106{col 57}{space 4}-.1637348{col 70}{space 3} 1.715753
{txt}{space 11}441  {c |}{col 17}{res}{space 2} 1.850347{col 29}{space 2} .3937554{col 40}{space 1}    4.70{col 49}{space 3}0.000{col 57}{space 4} 1.078601{col 70}{space 3} 2.622094
{txt}{space 11}448  {c |}{col 17}{res}{space 2}-.0948041{col 29}{space 2} .4335563{col 40}{space 1}   -0.22{col 49}{space 3}0.827{col 57}{space 4}-.9445588{col 70}{space 3} .7549506
{txt}{space 11}464  {c |}{col 17}{res}{space 2} .4113944{col 29}{space 2} .4234106{col 40}{space 1}    0.97{col 49}{space 3}0.331{col 57}{space 4}-.4184751{col 70}{space 3} 1.241264
{txt}{space 11}472  {c |}{col 17}{res}{space 2}-.3427076{col 29}{space 2} .6907771{col 40}{space 1}   -0.50{col 49}{space 3}0.620{col 57}{space 4}-1.696606{col 70}{space 3} 1.011191
{txt}{space 11}474  {c |}{col 17}{res}{space 2} .9041081{col 29}{space 2} .4099437{col 40}{space 1}    2.21{col 49}{space 3}0.027{col 57}{space 4} .1006332{col 70}{space 3} 1.707583
{txt}{space 11}476  {c |}{col 17}{res}{space 2} .4200543{col 29}{space 2} .4667483{col 40}{space 1}    0.90{col 49}{space 3}0.368{col 57}{space 4}-.4947556{col 70}{space 3} 1.334864
{txt}{space 11}478  {c |}{col 17}{res}{space 2}-.9249936{col 29}{space 2} .8067314{col 40}{space 1}   -1.15{col 49}{space 3}0.252{col 57}{space 4}-2.506158{col 70}{space 3}  .656171
{txt}{space 11}483  {c |}{col 17}{res}{space 2}  -.08601{col 29}{space 2} .4881375{col 40}{space 1}   -0.18{col 49}{space 3}0.860{col 57}{space 4}-1.042742{col 70}{space 3}  .870722
{txt}{space 11}490  {c |}{col 17}{res}{space 2} -.858364{col 29}{space 2} .6873263{col 40}{space 1}   -1.25{col 49}{space 3}0.212{col 57}{space 4}-2.205499{col 70}{space 3} .4887709
{txt}{space 11}505  {c |}{col 17}{res}{space 2}-.0962669{col 29}{space 2} .5106054{col 40}{space 1}   -0.19{col 49}{space 3}0.850{col 57}{space 4}-1.097035{col 70}{space 3} .9045014
{txt}{space 11}508  {c |}{col 17}{res}{space 2}-1.740764{col 29}{space 2} 1.067458{col 40}{space 1}   -1.63{col 49}{space 3}0.103{col 57}{space 4}-3.832944{col 70}{space 3} .3514157
{txt}{space 11}525  {c |}{col 17}{res}{space 2}-.7230461{col 29}{space 2} .6801361{col 40}{space 1}   -1.06{col 49}{space 3}0.288{col 57}{space 4}-2.056088{col 70}{space 3} .6099962
{txt}{space 11}527  {c |}{col 17}{res}{space 2}-.0710443{col 29}{space 2} .5190626{col 40}{space 1}   -0.14{col 49}{space 3}0.891{col 57}{space 4}-1.088388{col 70}{space 3} .9462996
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} -2.96536{col 29}{space 2}  .369512{col 40}{space 1}   -8.03{col 49}{space 3}0.000{col 57}{space 4}-3.689591{col 70}{space 3} -2.24113
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,764{col 51}{txt}missing .:  {res}0{txt}/{res}15,758

{txt}{col 19}mean:{res}{col 26} 27429.6
{txt}{col 15}std. dev:{res}{col 26} 16182.2

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    5017{col 37}   13257{col 47}   27240{col 57}   41541{col 67}   49844

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}15,758

{txt}{col 19}mean:{res}{col 26} 481.902
{txt}{col 15}std. dev:{res}{col 26}  220.48

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      95{col 37}     365{col 47}     451{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}90{col 51}{txt}missing .:  {res}0{txt}/{res}15,758

{txt}{col 19}mean:{res}{col 26} 281.191
{txt}{col 15}std. dev:{res}{col 26} 139.454

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. *** Model 2 ***
. 
. logit major_frev $ind entry_to_trans female dem_const coldwar $pre $macro i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3824.1314}  
Iteration 1:{space 3}log likelihood = {res: -2682.813}  
Iteration 2:{space 3}log likelihood = {res:-2392.9165}  
Iteration 3:{space 3}log likelihood = {res:-2064.9266}  
Iteration 4:{space 3}log likelihood = {res:-1984.1657}  
Iteration 5:{space 3}log likelihood = {res:-1913.5993}  
Iteration 6:{space 3}log likelihood = {res:-1911.3919}  
Iteration 7:{space 3}log likelihood = {res:-1911.3669}  
Iteration 8:{space 3}log likelihood = {res:-1911.3669}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,724
{txt}{col 49}LR chi2({res}100{txt}){col 67}= {res}   3825.53
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1911.3669{txt}{col 49}Pseudo R2{col 67}= {res}    0.5002

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2}  2.27976{col 31}{space 2} .2267019{col 42}{space 1}   10.06{col 51}{space 3}0.000{col 59}{space 4} 1.835433{col 72}{space 3} 2.724088
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2} .0639561{col 31}{space 2} .0185311{col 42}{space 1}    3.45{col 51}{space 3}0.001{col 59}{space 4} .0276359{col 72}{space 3} .1002764
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2959009{col 31}{space 2} .1186145{col 42}{space 1}    2.49{col 51}{space 3}0.013{col 59}{space 4} .0634207{col 72}{space 3} .5283811
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2} -.377232{col 31}{space 2} .2425126{col 42}{space 1}   -1.56{col 51}{space 3}0.120{col 59}{space 4} -.852548{col 72}{space 3} .0980839
{txt}{space 3}entry_to_trans {c |}{col 19}{res}{space 2} -.127193{col 31}{space 2} .0076573{col 42}{space 1}  -16.61{col 51}{space 3}0.000{col 59}{space 4} -.142201{col 72}{space 3} -.112185
{txt}{space 11}female {c |}{col 19}{res}{space 2} .1006098{col 31}{space 2} .1670659{col 42}{space 1}    0.60{col 51}{space 3}0.547{col 59}{space 4}-.2268335{col 72}{space 3}  .428053
{txt}{space 8}dem_const {c |}{col 19}{res}{space 2} -2.15433{col 31}{space 2} .4763161{col 42}{space 1}   -4.52{col 51}{space 3}0.000{col 59}{space 4}-3.087892{col 72}{space 3}-1.220768
{txt}{space 10}coldwar {c |}{col 19}{res}{space 2}-.7280054{col 31}{space 2} .6625053{col 42}{space 1}   -1.10{col 51}{space 3}0.272{col 59}{space 4}-2.026492{col 72}{space 3} .5704812
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-51.25797{col 31}{space 2} 5.083731{col 42}{space 1}  -10.08{col 51}{space 3}0.000{col 59}{space 4} -61.2219{col 72}{space 3}-41.29404
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-14.12691{col 31}{space 2} 1.526407{col 42}{space 1}   -9.26{col 51}{space 3}0.000{col 59}{space 4}-17.11861{col 72}{space 3}-11.13521
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2} 4.125544{col 31}{space 2}  .877564{col 42}{space 1}    4.70{col 51}{space 3}0.000{col 59}{space 4}  2.40555{col 72}{space 3} 5.845538
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}-9.701303{col 31}{space 2} .9441322{col 42}{space 1}  -10.28{col 51}{space 3}0.000{col 59}{space 4}-11.55177{col 72}{space 3}-7.850838
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-2.769571{col 31}{space 2}  4.01606{col 42}{space 1}   -0.69{col 51}{space 3}0.490{col 59}{space 4} -10.6409{col 72}{space 3} 5.101761
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2}-29.78275{col 31}{space 2} 1.897583{col 42}{space 1}  -15.70{col 51}{space 3}0.000{col 59}{space 4}-33.50194{col 72}{space 3}-26.06356
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2}-41.01162{col 31}{space 2} 3.377754{col 42}{space 1}  -12.14{col 51}{space 3}0.000{col 59}{space 4}-47.63189{col 72}{space 3}-34.39134
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2}-56.85824{col 31}{space 2} 5.513694{col 42}{space 1}  -10.31{col 51}{space 3}0.000{col 59}{space 4}-67.66488{col 72}{space 3} -46.0516
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} 34.16669{col 31}{space 2} 2.516874{col 42}{space 1}   13.58{col 51}{space 3}0.000{col 59}{space 4} 29.23371{col 72}{space 3} 39.09967
{txt}{space 14}38  {c |}{col 19}{res}{space 2} 100.3737{col 31}{space 2} 8.052301{col 42}{space 1}   12.47{col 51}{space 3}0.000{col 59}{space 4} 84.59144{col 72}{space 3} 116.1559
{txt}{space 14}51  {c |}{col 19}{res}{space 2}-50.97845{col 31}{space 2} 3.359175{col 42}{space 1}  -15.18{col 51}{space 3}0.000{col 59}{space 4}-57.56231{col 72}{space 3}-44.39459
{txt}{space 14}62  {c |}{col 19}{res}{space 2}  15.0347{col 31}{space 2} 3.422976{col 42}{space 1}    4.39{col 51}{space 3}0.000{col 59}{space 4} 8.325791{col 72}{space 3} 21.74361
{txt}{space 14}69  {c |}{col 19}{res}{space 2} 115.4854{col 31}{space 2} 7.685611{col 42}{space 1}   15.03{col 51}{space 3}0.000{col 59}{space 4} 100.4219{col 72}{space 3}  130.549
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-6.505267{col 31}{space 2} 2.127451{col 42}{space 1}   -3.06{col 51}{space 3}0.002{col 59}{space 4}-10.67499{col 72}{space 3} -2.33554
{txt}{space 14}78  {c |}{col 19}{res}{space 2}-20.46969{col 31}{space 2} 1.247231{col 42}{space 1}  -16.41{col 51}{space 3}0.000{col 59}{space 4}-22.91422{col 72}{space 3}-18.02516
{txt}{space 14}82  {c |}{col 19}{res}{space 2}-1.997693{col 31}{space 2} 3.040673{col 42}{space 1}   -0.66{col 51}{space 3}0.511{col 59}{space 4}-7.957304{col 72}{space 3} 3.961917
{txt}{space 14}85  {c |}{col 19}{res}{space 2}  1.65107{col 31}{space 2} 3.682249{col 42}{space 1}    0.45{col 51}{space 3}0.654{col 59}{space 4}-5.566006{col 72}{space 3} 8.868145
{txt}{space 14}98  {c |}{col 19}{res}{space 2}-19.04909{col 31}{space 2} 2.876167{col 42}{space 1}   -6.62{col 51}{space 3}0.000{col 59}{space 4}-24.68628{col 72}{space 3}-13.41191
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2}-58.37051{col 31}{space 2} 3.293131{col 42}{space 1}  -17.72{col 51}{space 3}0.000{col 59}{space 4}-64.82493{col 72}{space 3}-51.91609
{txt}{space 13}141  {c |}{col 19}{res}{space 2}-31.50922{col 31}{space 2}  3.72337{col 42}{space 1}   -8.46{col 51}{space 3}0.000{col 59}{space 4}-38.80689{col 72}{space 3}-24.21155
{txt}{space 13}147  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2} 33.61277{col 31}{space 2} 3.617947{col 42}{space 1}    9.29{col 51}{space 3}0.000{col 59}{space 4} 26.52172{col 72}{space 3} 40.70381
{txt}{space 13}154  {c |}{col 19}{res}{space 2} 97.80593{col 31}{space 2} 6.374753{col 42}{space 1}   15.34{col 51}{space 3}0.000{col 59}{space 4} 85.31164{col 72}{space 3} 110.3002
{txt}{space 13}159  {c |}{col 19}{res}{space 2} 12.33243{col 31}{space 2} 2.161344{col 42}{space 1}    5.71{col 51}{space 3}0.000{col 59}{space 4} 8.096275{col 72}{space 3} 16.56859
{txt}{space 13}170  {c |}{col 19}{res}{space 2}-79.79822{col 31}{space 2} 5.218444{col 42}{space 1}  -15.29{col 51}{space 3}0.000{col 59}{space 4}-90.02618{col 72}{space 3}-69.57026
{txt}{space 13}174  {c |}{col 19}{res}{space 2} -50.8925{col 31}{space 2} 4.668445{col 42}{space 1}  -10.90{col 51}{space 3}0.000{col 59}{space 4}-60.04249{col 72}{space 3}-41.74252
{txt}{space 13}180  {c |}{col 19}{res}{space 2} 17.17303{col 31}{space 2}  3.11466{col 42}{space 1}    5.51{col 51}{space 3}0.000{col 59}{space 4} 11.06841{col 72}{space 3} 23.27765
{txt}{space 13}182  {c |}{col 19}{res}{space 2} 18.91305{col 31}{space 2} 3.698864{col 42}{space 1}    5.11{col 51}{space 3}0.000{col 59}{space 4} 11.66341{col 72}{space 3} 26.16269
{txt}{space 13}184  {c |}{col 19}{res}{space 2}-9.478733{col 31}{space 2} 1.217424{col 42}{space 1}   -7.79{col 51}{space 3}0.000{col 59}{space 4}-11.86484{col 72}{space 3}-7.092625
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}196  {c |}{col 19}{res}{space 2} 31.92603{col 31}{space 2} 3.196928{col 42}{space 1}    9.99{col 51}{space 3}0.000{col 59}{space 4} 25.66016{col 72}{space 3} 38.19189
{txt}{space 13}200  {c |}{col 19}{res}{space 2}-105.1231{col 31}{space 2} 6.325918{col 42}{space 1}  -16.62{col 51}{space 3}0.000{col 59}{space 4}-117.5217{col 72}{space 3}-92.72453
{txt}{space 13}203  {c |}{col 19}{res}{space 2}-97.69581{col 31}{space 2} 5.947435{col 42}{space 1}  -16.43{col 51}{space 3}0.000{col 59}{space 4}-109.3526{col 72}{space 3}-86.03905
{txt}{space 13}205  {c |}{col 19}{res}{space 2}-35.35495{col 31}{space 2} 2.372484{col 42}{space 1}  -14.90{col 51}{space 3}0.000{col 59}{space 4}-40.00493{col 72}{space 3}-30.70496
{txt}{space 13}209  {c |}{col 19}{res}{space 2}-36.38677{col 31}{space 2} 2.143396{col 42}{space 1}  -16.98{col 51}{space 3}0.000{col 59}{space 4}-40.58775{col 72}{space 3}-32.18579
{txt}{space 13}217  {c |}{col 19}{res}{space 2} 7.713045{col 31}{space 2} 2.962652{col 42}{space 1}    2.60{col 51}{space 3}0.009{col 59}{space 4} 1.906354{col 72}{space 3} 13.51974
{txt}{space 13}219  {c |}{col 19}{res}{space 2} 10.10875{col 31}{space 2} 3.096576{col 42}{space 1}    3.26{col 51}{space 3}0.001{col 59}{space 4} 4.039571{col 72}{space 3} 16.17792
{txt}{space 13}222  {c |}{col 19}{res}{space 2}-37.94991{col 31}{space 2} 2.350924{col 42}{space 1}  -16.14{col 51}{space 3}0.000{col 59}{space 4}-42.55763{col 72}{space 3}-33.34218
{txt}{space 13}227  {c |}{col 19}{res}{space 2}-52.83345{col 31}{space 2} 3.195616{col 42}{space 1}  -16.53{col 51}{space 3}0.000{col 59}{space 4}-59.09674{col 72}{space 3}-46.57016
{txt}{space 13}229  {c |}{col 19}{res}{space 2} 8.610515{col 31}{space 2} 2.499524{col 42}{space 1}    3.44{col 51}{space 3}0.001{col 59}{space 4} 3.711538{col 72}{space 3} 13.50949
{txt}{space 13}232  {c |}{col 19}{res}{space 2} 3.051018{col 31}{space 2} 1.874676{col 42}{space 1}    1.63{col 51}{space 3}0.104{col 59}{space 4}-.6232798{col 72}{space 3} 6.725315
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{txt}{space 13}336  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}341  {c |}{col 19}{res}{space 2}-37.44897{col 31}{space 2} 2.485558{col 42}{space 1}  -15.07{col 51}{space 3}0.000{col 59}{space 4}-42.32058{col 72}{space 3}-32.57737
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{txt}{space 13}357  {c |}{col 19}{res}{space 2} 104.4669{col 31}{space 2}  7.83753{col 42}{space 1}   13.33{col 51}{space 3}0.000{col 59}{space 4} 89.10563{col 72}{space 3} 119.8282
{txt}{space 13}362  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}365  {c |}{col 19}{res}{space 2} 93.91296{col 31}{space 2} 7.517391{col 42}{space 1}   12.49{col 51}{space 3}0.000{col 59}{space 4} 79.17915{col 72}{space 3} 108.6468
{txt}{space 13}367  {c |}{col 19}{res}{space 2} 115.2505{col 31}{space 2} 8.178581{col 42}{space 1}   14.09{col 51}{space 3}0.000{col 59}{space 4} 99.22082{col 72}{space 3} 131.2803
{txt}{space 13}376  {c |}{col 19}{res}{space 2} .1858328{col 31}{space 2} 1.658831{col 42}{space 1}    0.11{col 51}{space 3}0.911{col 59}{space 4}-3.065416{col 72}{space 3} 3.437082
{txt}{space 13}380  {c |}{col 19}{res}{space 2}-31.57339{col 31}{space 2} 2.545579{col 42}{space 1}  -12.40{col 51}{space 3}0.000{col 59}{space 4}-36.56264{col 72}{space 3}-26.58415
{txt}{space 13}387  {c |}{col 19}{res}{space 2}    43.78{col 31}{space 2} 4.153736{col 42}{space 1}   10.54{col 51}{space 3}0.000{col 59}{space 4} 35.63882{col 72}{space 3} 51.92117
{txt}{space 13}390  {c |}{col 19}{res}{space 2} 6.276899{col 31}{space 2} 1.795776{col 42}{space 1}    3.50{col 51}{space 3}0.000{col 59}{space 4} 2.757244{col 72}{space 3} 9.796555
{txt}{space 13}393  {c |}{col 19}{res}{space 2} 27.86416{col 31}{space 2}  1.67029{col 42}{space 1}   16.68{col 51}{space 3}0.000{col 59}{space 4} 24.59045{col 72}{space 3} 31.13787
{txt}{space 13}395  {c |}{col 19}{res}{space 2} 40.39869{col 31}{space 2} 1.920361{col 42}{space 1}   21.04{col 51}{space 3}0.000{col 59}{space 4} 36.63485{col 72}{space 3} 44.16252
{txt}{space 13}398  {c |}{col 19}{res}{space 2} -17.8119{col 31}{space 2} 3.688475{col 42}{space 1}   -4.83{col 51}{space 3}0.000{col 59}{space 4}-25.04118{col 72}{space 3}-10.58262
{txt}{space 13}401  {c |}{col 19}{res}{space 2} 20.90409{col 31}{space 2} 1.321532{col 42}{space 1}   15.82{col 51}{space 3}0.000{col 59}{space 4} 18.31393{col 72}{space 3} 23.49424
{txt}{space 13}402  {c |}{col 19}{res}{space 2} 91.17927{col 31}{space 2} 4.651239{col 42}{space 1}   19.60{col 51}{space 3}0.000{col 59}{space 4} 82.06301{col 72}{space 3} 100.2955
{txt}{space 13}409  {c |}{col 19}{res}{space 2}-10.33461{col 31}{space 2}  1.05981{col 42}{space 1}   -9.75{col 51}{space 3}0.000{col 59}{space 4} -12.4118{col 72}{space 3}-8.257421
{txt}{space 13}411  {c |}{col 19}{res}{space 2}-9.808202{col 31}{space 2} 1.997606{col 42}{space 1}   -4.91{col 51}{space 3}0.000{col 59}{space 4}-13.72344{col 72}{space 3}-5.892966
{txt}{space 13}417  {c |}{col 19}{res}{space 2}-9.490885{col 31}{space 2} 2.621441{col 42}{space 1}   -3.62{col 51}{space 3}0.000{col 59}{space 4}-14.62881{col 72}{space 3}-4.352956
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{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 376.9276{col 31}{space 2} 18.00194{col 42}{space 1}   20.94{col 51}{space 3}0.000{col 59}{space 4} 341.6444{col 72}{space 3} 412.2107
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,738{col 51}{txt}missing .:  {res}0{txt}/{res}15,724

{txt}{col 19}mean:{res}{col 26} 27429.1
{txt}{col 15}std. dev:{res}{col 26} 16186.9

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    5009{col 37}   13261{col 47}   27234{col 57} 41546.5{col 67}   49845

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}15,724

{txt}{col 19}mean:{res}{col 26} 481.773
{txt}{col 15}std. dev:{res}{col 26} 220.611

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      95{col 37}     365{col 47}     451{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}90{col 51}{txt}missing .:  {res}0{txt}/{res}15,724

{txt}{col 19}mean:{res}{col 26} 280.933
{txt}{col 15}std. dev:{res}{col 26}  139.41

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. *** TSCS Models ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. *** Model 3 ***
. 
. logit major_frev $ind entry_to_trans i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 231 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 144 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -6486.576}  
Iteration 1:{space 3}log likelihood = {res:-5999.0942}  
Iteration 2:{space 3}log likelihood = {res:-5506.7106}  
Iteration 3:{space 3}log likelihood = {res:-5381.0921}  
Iteration 4:{space 3}log likelihood = {res:-5375.0538}  
Iteration 5:{space 3}log likelihood = {res:-5339.0229}  
Iteration 6:{space 3}log likelihood = {res:-5339.0229}  
Iteration 7:{space 3}log likelihood = {res:-5339.0229}  
Iteration 8:{space 3}log likelihood = {res:-5339.0229}  
Iteration 9:{space 3}log likelihood = {res:-5339.0229}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-5339.0229}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-5339.0229}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-5339.0229}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-5339.0229}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-5339.0229}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-5234.5131}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-5167.8483}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-5163.7704}  
Iteration 18:{space 2}log likelihood = {res:-5160.7061}  
Iteration 19:{space 2}log likelihood = {res:-5155.5359}  
Iteration 20:{space 2}log likelihood = {res:-5155.0899}  
Iteration 21:{space 2}log likelihood = {res:-5155.0892}  
Iteration 22:{space 2}log likelihood = {res:-5155.0892}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   198,151
{txt}{col 49}LR chi2({res}94{txt}){col 67}= {res}   2662.97
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5155.0892{txt}{col 49}Pseudo R2{col 67}= {res}    0.2053

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.235041{col 29}{space 2} .1503202{col 40}{space 1}    8.22{col 49}{space 3}0.000{col 57}{space 4} .9404187{col 70}{space 3} 1.529663
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2} .0691278{col 29}{space 2} .0159015{col 40}{space 1}    4.35{col 49}{space 3}0.000{col 57}{space 4} .0379613{col 70}{space 3} .1002942
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .2809638{col 29}{space 2} .0845499{col 40}{space 1}    3.32{col 49}{space 3}0.001{col 57}{space 4} .1152491{col 70}{space 3} .4466786
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.1752972{col 29}{space 2} .1683531{col 40}{space 1}   -1.04{col 49}{space 3}0.298{col 57}{space 4}-.5052633{col 70}{space 3} .1546688
{txt}{space 1}entry_to_trans {c |}{col 17}{res}{space 2}-.1744014{col 29}{space 2} .0073814{col 40}{space 1}  -23.63{col 49}{space 3}0.000{col 57}{space 4}-.1888686{col 70}{space 3}-.1599342
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}11  {c |}{col 17}{res}{space 2}-1.974554{col 29}{space 2} .5199479{col 40}{space 1}   -3.80{col 49}{space 3}0.000{col 57}{space 4}-2.993634{col 70}{space 3}-.9554751
{txt}{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2}  .918615{col 29}{space 2} .4708247{col 40}{space 1}    1.95{col 49}{space 3}0.051{col 57}{space 4}-.0041845{col 70}{space 3} 1.841415
{txt}{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}36  {c |}{col 17}{res}{space 2}  -1.3414{col 29}{space 2} .4410653{col 40}{space 1}   -3.04{col 49}{space 3}0.002{col 57}{space 4}-2.205872{col 70}{space 3}-.4769281
{txt}{space 12}38  {c |}{col 17}{res}{space 2}-.5919669{col 29}{space 2} .6663723{col 40}{space 1}   -0.89{col 49}{space 3}0.374{col 57}{space 4}-1.898033{col 70}{space 3} .7140987
{txt}{space 12}51  {c |}{col 17}{res}{space 2} -.553536{col 29}{space 2} .4132623{col 40}{space 1}   -1.34{col 49}{space 3}0.180{col 57}{space 4}-1.363515{col 70}{space 3} .2564433
{txt}{space 12}62  {c |}{col 17}{res}{space 2}-2.222177{col 29}{space 2} .4322213{col 40}{space 1}   -5.14{col 49}{space 3}0.000{col 57}{space 4}-3.069315{col 70}{space 3}-1.375038
{txt}{space 12}69  {c |}{col 17}{res}{space 2}-.8121807{col 29}{space 2} .3914822{col 40}{space 1}   -2.07{col 49}{space 3}0.038{col 57}{space 4}-1.579472{col 70}{space 3}-.0448897
{txt}{space 12}71  {c |}{col 17}{res}{space 2}-1.680843{col 29}{space 2}  .496659{col 40}{space 1}   -3.38{col 49}{space 3}0.001{col 57}{space 4}-2.654276{col 70}{space 3} -.707409
{txt}{space 12}78  {c |}{col 17}{res}{space 2}-.5944011{col 29}{space 2} .5964814{col 40}{space 1}   -1.00{col 49}{space 3}0.319{col 57}{space 4}-1.763483{col 70}{space 3} .5746809
{txt}{space 12}82  {c |}{col 17}{res}{space 2} .9293197{col 29}{space 2} .4120073{col 40}{space 1}    2.26{col 49}{space 3}0.024{col 57}{space 4} .1218002{col 70}{space 3} 1.736839
{txt}{space 12}85  {c |}{col 17}{res}{space 2}-1.383211{col 29}{space 2} .6621884{col 40}{space 1}   -2.09{col 49}{space 3}0.037{col 57}{space 4}-2.681076{col 70}{space 3}-.0853454
{txt}{space 12}98  {c |}{col 17}{res}{space 2} -.460693{col 29}{space 2} .4255058{col 40}{space 1}   -1.08{col 49}{space 3}0.279{col 57}{space 4}-1.294669{col 70}{space 3}  .373283
{txt}{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}120  {c |}{col 17}{res}{space 2} .4875996{col 29}{space 2} .4288591{col 40}{space 1}    1.14{col 49}{space 3}0.256{col 57}{space 4}-.3529489{col 70}{space 3} 1.328148
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.435807{col 29}{space 2} .3543319{col 40}{space 1}  -12.52{col 49}{space 3}0.000{col 57}{space 4}-5.130285{col 70}{space 3} -3.74133
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,764{col 51}{txt}missing .:  {res}0{txt}/{res}198,151

{txt}{col 19}mean:{res}{col 26} 27433.8
{txt}{col 15}std. dev:{res}{col 26}   15711

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6387{col 37}   14013{col 47}   26679{col 57}   41392{col 67}   49692

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}198,151

{txt}{col 19}mean:{res}{col 26} 427.307
{txt}{col 15}std. dev:{res}{col 26} 237.351

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     616{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}90{col 51}{txt}missing .:  {res}0{txt}/{res}198,151

{txt}{col 19}mean:{res}{col 26} 285.345
{txt}{col 15}std. dev:{res}{col 26} 135.547

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     304{col 57}     398{col 67}     436
{txt}
{com}. 
. *** Model 4 ***
. 
. logit major_frev $ind entry_to_trans $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 219 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -6164.553}  
Iteration 1:{space 3}log likelihood = {res: -5577.222}  
Iteration 2:{space 3}log likelihood = {res:-4878.4379}  
Iteration 3:{space 3}log likelihood = {res:-4562.2394}  
Iteration 4:{space 3}log likelihood = {res:-4541.2511}  
Iteration 5:{space 3}log likelihood = {res:-4504.8603}  
Iteration 6:{space 3}log likelihood = {res:-4504.8601}  
Iteration 7:{space 3}log likelihood = {res:-4504.8601}  
Iteration 8:{space 3}log likelihood = {res:-4504.8601}  
Iteration 9:{space 3}log likelihood = {res:-4504.8601}  
Iteration 10:{space 2}log likelihood = {res:-4504.8601}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4504.8601}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4504.8601}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4504.8601}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4504.8601}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4504.8601}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4504.8601}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4504.8601}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4399.3275}  (backed up)
Iteration 19:{space 2}log likelihood = {res:-4371.3353}  
Iteration 20:{space 2}log likelihood = {res:-4356.7274}  
Iteration 21:{space 2}log likelihood = {res:-4354.5836}  
Iteration 22:{space 2}log likelihood = {res:-4354.4736}  
Iteration 23:{space 2}log likelihood = {res:-4354.4736}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,990
{txt}{col 49}LR chi2({res}95{txt}){col 67}= {res}   3620.16
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4354.4736{txt}{col 49}Pseudo R2{col 67}= {res}    0.2936

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
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{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{txt}{space 11}527  {c |}{col 17}{res}{space 2} .6160835{col 29}{space 2} .6317603{col 40}{space 1}    0.98{col 49}{space 3}0.329{col 57}{space 4}-.6221439{col 70}{space 3} 1.854311
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.221064{col 29}{space 2} .5292812{col 40}{space 1}   -7.98{col 49}{space 3}0.000{col 57}{space 4}-5.258436{col 70}{space 3}-3.183692
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 14 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,648{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 27444.2
{txt}{col 15}std. dev:{res}{col 26} 15689.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6432{col 37}   14046{col 47}   26631{col 57}   41393{col 67}   49691

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26}  424.41
{txt}{col 15}std. dev:{res}{col 26} 236.453

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 287.018
{txt}{col 15}std. dev:{res}{col 26} 134.456

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. *** Model 5 ***
. 
. logit major_frev $ind entry_to_trans female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6161.6342}  
Iteration 1:{space 3}log likelihood = {res:-5531.9572}  
Iteration 2:{space 3}log likelihood = {res:-4846.5233}  
Iteration 3:{space 3}log likelihood = {res:-4547.0595}  
Iteration 4:{space 3}log likelihood = {res:-4524.4203}  
Iteration 5:{space 3}log likelihood = {res:-4487.1773}  
Iteration 6:{space 3}log likelihood = {res:-4487.1723}  
Iteration 7:{space 3}log likelihood = {res:-4487.1721}  
Iteration 8:{space 3}log likelihood = {res: -4487.172}  (backed up)
Iteration 9:{space 3}log likelihood = {res: -4487.172}  (backed up)
Iteration 10:{space 2}log likelihood = {res: -4487.172}  (backed up)
Iteration 11:{space 2}log likelihood = {res: -4487.172}  (backed up)
Iteration 12:{space 2}log likelihood = {res: -4487.172}  (backed up)
Iteration 13:{space 2}log likelihood = {res: -4487.172}  (backed up)
Iteration 14:{space 2}log likelihood = {res: -4487.172}  (backed up)
Iteration 15:{space 2}log likelihood = {res: -4487.172}  (backed up)
Iteration 16:{space 2}log likelihood = {res: -4463.734}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4378.7942}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4371.7823}  
Iteration 19:{space 2}log likelihood = {res:-4338.7694}  
Iteration 20:{space 2}log likelihood = {res:-4336.7569}  
Iteration 21:{space 2}log likelihood = {res:-4336.7412}  
Iteration 22:{space 2}log likelihood = {res:-4336.7412}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,408
{txt}{col 49}LR chi2({res}101{txt}){col 67}= {res}   3649.79
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4336.7412{txt}{col 49}Pseudo R2{col 67}= {res}    0.2962

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 1.212171{col 31}{space 2} .1566378{col 42}{space 1}    7.74{col 51}{space 3}0.000{col 59}{space 4} .9051661{col 72}{space 3} 1.519175
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2} -.145903{col 31}{space 2} .0265257{col 42}{space 1}   -5.50{col 51}{space 3}0.000{col 59}{space 4}-.1978925{col 72}{space 3}-.0939135
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2477636{col 31}{space 2} .0889371{col 42}{space 1}    2.79{col 51}{space 3}0.005{col 59}{space 4}   .07345{col 72}{space 3} .4220771
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.2048281{col 31}{space 2} .1805093{col 42}{space 1}   -1.13{col 51}{space 3}0.256{col 59}{space 4}-.5586198{col 72}{space 3} .1489635
{txt}{space 3}entry_to_trans {c |}{col 19}{res}{space 2} .0308204{col 31}{space 2} .0187258{col 42}{space 1}    1.65{col 51}{space 3}0.100{col 59}{space 4}-.0058815{col 72}{space 3} .0675223
{txt}{space 11}female {c |}{col 19}{res}{space 2}  .104128{col 31}{space 2} .1275019{col 42}{space 1}    0.82{col 51}{space 3}0.414{col 59}{space 4}-.1457712{col 72}{space 3} .3540272
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2} -.721881{col 31}{space 2} .2167477{col 42}{space 1}   -3.33{col 51}{space 3}0.001{col 59}{space 4}-1.146699{col 72}{space 3}-.2970633
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2}-.1439888{col 31}{space 2} .2197229{col 42}{space 1}   -0.66{col 51}{space 3}0.512{col 59}{space 4}-.5746379{col 72}{space 3} .2866602
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-3.729307{col 31}{space 2} 2.561244{col 42}{space 1}   -1.46{col 51}{space 3}0.145{col 59}{space 4}-8.749252{col 72}{space 3} 1.290638
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-1.765899{col 31}{space 2} .7615499{col 42}{space 1}   -2.32{col 51}{space 3}0.020{col 59}{space 4} -3.25851{col 72}{space 3} -.273289
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}-2.286824{col 31}{space 2} .6606943{col 42}{space 1}   -3.46{col 51}{space 3}0.001{col 59}{space 4}-3.581761{col 72}{space 3}-.9918867
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2} 1.708844{col 31}{space 2} .4434606{col 42}{space 1}    3.85{col 51}{space 3}0.000{col 59}{space 4} .8396769{col 72}{space 3}  2.57801
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-2.414872{col 31}{space 2} .6332325{col 42}{space 1}   -3.81{col 51}{space 3}0.000{col 59}{space 4}-3.655984{col 72}{space 3}-1.173759
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2}  .817153{col 31}{space 2} 1.107857{col 42}{space 1}    0.74{col 51}{space 3}0.461{col 59}{space 4}-1.354206{col 72}{space 3} 2.988512
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2}-.1293206{col 31}{space 2} .0367603{col 42}{space 1}   -3.52{col 51}{space 3}0.000{col 59}{space 4}-.2013694{col 72}{space 3}-.0572718
{txt}{space 4}yr_since_exit {c |}{col 19}{res}{space 2} -.214734{col 31}{space 2} .0203086{col 42}{space 1}  -10.57{col 51}{space 3}0.000{col 59}{space 4}-.2545381{col 72}{space 3}-.1749299
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2} .6175396{col 31}{space 2} 1.783372{col 42}{space 1}    0.35{col 51}{space 3}0.729{col 59}{space 4}-2.877806{col 72}{space 3} 4.112885
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2} .4756412{col 31}{space 2} 2.689033{col 42}{space 1}    0.18{col 51}{space 3}0.860{col 59}{space 4}-4.794768{col 72}{space 3}  5.74605
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} .3953708{col 31}{space 2} 1.354126{col 42}{space 1}    0.29{col 51}{space 3}0.770{col 59}{space 4}-2.258667{col 72}{space 3} 3.049408
{txt}{space 14}38  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}51  {c |}{col 19}{res}{space 2} 4.333858{col 31}{space 2} 2.207795{col 42}{space 1}    1.96{col 51}{space 3}0.050{col 59}{space 4} .0066587{col 72}{space 3} 8.661057
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 3.262423{col 31}{space 2} 1.351125{col 42}{space 1}    2.41{col 51}{space 3}0.016{col 59}{space 4} .6142671{col 72}{space 3} 5.910579
{txt}{space 14}69  {c |}{col 19}{res}{space 2} .6230896{col 31}{space 2} 4.350435{col 42}{space 1}    0.14{col 51}{space 3}0.886{col 59}{space 4}-7.903607{col 72}{space 3} 9.149786
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-.8204662{col 31}{space 2} .9018023{col 42}{space 1}   -0.91{col 51}{space 3}0.363{col 59}{space 4}-2.587966{col 72}{space 3} .9470338
{txt}{space 14}78  {c |}{col 19}{res}{space 2} 1.514172{col 31}{space 2} 1.023339{col 42}{space 1}    1.48{col 51}{space 3}0.139{col 59}{space 4}-.4915359{col 72}{space 3}  3.51988
{txt}{space 14}82  {c |}{col 19}{res}{space 2} 5.073374{col 31}{space 2} 1.443588{col 42}{space 1}    3.51{col 51}{space 3}0.000{col 59}{space 4} 2.243992{col 72}{space 3} 7.902755
{txt}{space 14}85  {c |}{col 19}{res}{space 2} 4.074002{col 31}{space 2} 1.693262{col 42}{space 1}    2.41{col 51}{space 3}0.016{col 59}{space 4} .7552691{col 72}{space 3} 7.392734
{txt}{space 14}98  {c |}{col 19}{res}{space 2} 6.125713{col 31}{space 2} 1.430567{col 42}{space 1}    4.28{col 51}{space 3}0.000{col 59}{space 4} 3.321854{col 72}{space 3} 8.929572
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2} 3.271037{col 31}{space 2}  2.07617{col 42}{space 1}    1.58{col 51}{space 3}0.115{col 59}{space 4} -.798181{col 72}{space 3} 7.340255
{txt}{space 13}141  {c |}{col 19}{res}{space 2} 1.093237{col 31}{space 2}  2.06264{col 42}{space 1}    0.53{col 51}{space 3}0.596{col 59}{space 4}-2.949462{col 72}{space 3} 5.135936
{txt}{space 13}147  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2} 1.304841{col 31}{space 2} 1.561016{col 42}{space 1}    0.84{col 51}{space 3}0.403{col 59}{space 4}-1.754693{col 72}{space 3} 4.364376
{txt}{space 13}154  {c |}{col 19}{res}{space 2}-1.518219{col 31}{space 2} 3.989791{col 42}{space 1}   -0.38{col 51}{space 3}0.704{col 59}{space 4}-9.338065{col 72}{space 3} 6.301627
{txt}{space 13}159  {c |}{col 19}{res}{space 2} 2.767887{col 31}{space 2} 1.269804{col 42}{space 1}    2.18{col 51}{space 3}0.029{col 59}{space 4}  .279117{col 72}{space 3} 5.256657
{txt}{space 13}170  {c |}{col 19}{res}{space 2} 4.458601{col 31}{space 2} 3.057718{col 42}{space 1}    1.46{col 51}{space 3}0.145{col 59}{space 4}-1.534416{col 72}{space 3} 10.45162
{txt}{space 13}174  {c |}{col 19}{res}{space 2} .2797358{col 31}{space 2} 2.450241{col 42}{space 1}    0.11{col 51}{space 3}0.909{col 59}{space 4}-4.522649{col 72}{space 3}  5.08212
{txt}{space 13}180  {c |}{col 19}{res}{space 2} 3.245209{col 31}{space 2} 1.635039{col 42}{space 1}    1.98{col 51}{space 3}0.047{col 59}{space 4} .0405908{col 72}{space 3} 6.449826
{txt}{space 13}182  {c |}{col 19}{res}{space 2} 1.149391{col 31}{space 2} 2.017832{col 42}{space 1}    0.57{col 51}{space 3}0.569{col 59}{space 4}-2.805488{col 72}{space 3}  5.10427
{txt}{space 13}184  {c |}{col 19}{res}{space 2} .4132018{col 31}{space 2} .8794933{col 42}{space 1}    0.47{col 51}{space 3}0.638{col 59}{space 4}-1.310573{col 72}{space 3} 2.136977
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}196  {c |}{col 19}{res}{space 2} .7598358{col 31}{space 2} 1.806119{col 42}{space 1}    0.42{col 51}{space 3}0.674{col 59}{space 4}-2.780092{col 72}{space 3} 4.299763
{txt}{space 13}200  {c |}{col 19}{res}{space 2}   2.7894{col 31}{space 2} 3.925451{col 42}{space 1}    0.71{col 51}{space 3}0.477{col 59}{space 4}-4.904342{col 72}{space 3} 10.48314
{txt}{space 13}203  {c |}{col 19}{res}{space 2} 5.891607{col 31}{space 2} 3.706039{col 42}{space 1}    1.59{col 51}{space 3}0.112{col 59}{space 4}-1.372096{col 72}{space 3} 13.15531
{txt}{space 13}205  {c |}{col 19}{res}{space 2} 6.497723{col 31}{space 2} 1.526989{col 42}{space 1}    4.26{col 51}{space 3}0.000{col 59}{space 4}  3.50488{col 72}{space 3} 9.490566
{txt}{space 13}209  {c |}{col 19}{res}{space 2} 2.029802{col 31}{space 2} 1.494339{col 42}{space 1}    1.36{col 51}{space 3}0.174{col 59}{space 4}-.8990489{col 72}{space 3} 4.958653
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{txt}{space 13}219  {c |}{col 19}{res}{space 2} 2.659041{col 31}{space 2} 1.591027{col 42}{space 1}    1.67{col 51}{space 3}0.095{col 59}{space 4}-.4593141{col 72}{space 3} 5.777397
{txt}{space 13}222  {c |}{col 19}{res}{space 2} 2.962276{col 31}{space 2} 1.609292{col 42}{space 1}    1.84{col 51}{space 3}0.066{col 59}{space 4}-.1918781{col 72}{space 3}  6.11643
{txt}{space 13}227  {c |}{col 19}{res}{space 2} 4.789075{col 31}{space 2} 1.974768{col 42}{space 1}    2.43{col 51}{space 3}0.015{col 59}{space 4} .9186007{col 72}{space 3}  8.65955
{txt}{space 13}229  {c |}{col 19}{res}{space 2}  4.30041{col 31}{space 2} 1.183757{col 42}{space 1}    3.63{col 51}{space 3}0.000{col 59}{space 4} 1.980288{col 72}{space 3} 6.620532
{txt}{space 13}232  {c |}{col 19}{res}{space 2}-1.134966{col 31}{space 2} .7689011{col 42}{space 1}   -1.48{col 51}{space 3}0.140{col 59}{space 4}-2.641984{col 72}{space 3} .3720525
{txt}{space 13}238  {c |}{col 19}{res}{space 2}-2.660507{col 31}{space 2} 3.004446{col 42}{space 1}   -0.89{col 51}{space 3}0.376{col 59}{space 4}-8.549114{col 72}{space 3} 3.228099
{txt}{space 13}248  {c |}{col 19}{res}{space 2}-2.796037{col 31}{space 2} 1.367427{col 42}{space 1}   -2.04{col 51}{space 3}0.041{col 59}{space 4}-5.476144{col 72}{space 3}-.1159308
{txt}{space 13}255  {c |}{col 19}{res}{space 2} 1.789229{col 31}{space 2} .7445862{col 42}{space 1}    2.40{col 51}{space 3}0.016{col 59}{space 4} .3298665{col 72}{space 3} 3.248591
{txt}{space 13}260  {c |}{col 19}{res}{space 2}  .967472{col 31}{space 2} 1.043952{col 42}{space 1}    0.93{col 51}{space 3}0.354{col 59}{space 4}-1.078636{col 72}{space 3}  3.01358
{txt}{space 13}265  {c |}{col 19}{res}{space 2}-1.427579{col 31}{space 2} 3.155148{col 42}{space 1}   -0.45{col 51}{space 3}0.651{col 59}{space 4}-7.611557{col 72}{space 3} 4.756398
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{txt}{space 13}284  {c |}{col 19}{res}{space 2} 5.286998{col 31}{space 2} 1.404324{col 42}{space 1}    3.76{col 51}{space 3}0.000{col 59}{space 4} 2.534573{col 72}{space 3} 8.039423
{txt}{space 13}290  {c |}{col 19}{res}{space 2} 4.587898{col 31}{space 2}   2.8277{col 42}{space 1}    1.62{col 51}{space 3}0.105{col 59}{space 4}-.9542922{col 72}{space 3} 10.13009
{txt}{space 13}300  {c |}{col 19}{res}{space 2} 3.693409{col 31}{space 2} 1.329773{col 42}{space 1}    2.78{col 51}{space 3}0.005{col 59}{space 4} 1.087102{col 72}{space 3} 6.299716
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{txt}{space 13}306  {c |}{col 19}{res}{space 2}-1.893075{col 31}{space 2} 1.463134{col 42}{space 1}   -1.29{col 51}{space 3}0.196{col 59}{space 4}-4.760764{col 72}{space 3} .9746146
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{txt}{space 13}316  {c |}{col 19}{res}{space 2} 4.603989{col 31}{space 2} 1.140878{col 42}{space 1}    4.04{col 51}{space 3}0.000{col 59}{space 4} 2.367909{col 72}{space 3} 6.840068
{txt}{space 13}320  {c |}{col 19}{res}{space 2}-4.034566{col 31}{space 2} 2.392042{col 42}{space 1}   -1.69{col 51}{space 3}0.092{col 59}{space 4}-8.722882{col 72}{space 3} .6537496
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{txt}{space 13}362  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}387  {c |}{col 19}{res}{space 2} .5589682{col 31}{space 2} 2.271525{col 42}{space 1}    0.25{col 51}{space 3}0.806{col 59}{space 4}-3.893139{col 72}{space 3} 5.011075
{txt}{space 13}390  {c |}{col 19}{res}{space 2} -1.97109{col 31}{space 2} .9920348{col 42}{space 1}   -1.99{col 51}{space 3}0.047{col 59}{space 4}-3.915443{col 72}{space 3}-.0267379
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{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-23.35304{col 31}{space 2} 12.44881{col 42}{space 1}   -1.88{col 51}{space 3}0.061{col 59}{space 4}-47.75225{col 72}{space 3} 1.046172
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 9 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,622{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 27442.6
{txt}{col 15}std. dev:{res}{col 26} 15689.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6431{col 37}   14048{col 47}   26631{col 57}   41393{col 67}   49689

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 423.943
{txt}{col 15}std. dev:{res}{col 26} 236.515

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 286.633
{txt}{col 15}std. dev:{res}{col 26} 134.396

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. 
. *** Table A15 ***
. 
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. *** Model 1 ***
. 
. logit major_frev $ind elite_pact i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 77 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 123 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

note: 436.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3899.9914}  
Iteration 1:{space 3}log likelihood = {res:-3645.4087}  
Iteration 2:{space 3}log likelihood = {res:-3606.9321}  
Iteration 3:{space 3}log likelihood = {res:-3509.2543}  (backed up)
Iteration 4:{space 3}log likelihood = {res:-3443.4406}  (backed up)
Iteration 5:{space 3}log likelihood = {res:-3426.9072}  
Iteration 6:{space 3}log likelihood = {res:-3420.2568}  
Iteration 7:{space 3}log likelihood = {res:-3419.4057}  
Iteration 8:{space 3}log likelihood = {res:-3419.4015}  
Iteration 9:{space 3}log likelihood = {res:-3419.4015}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,943
{txt}{col 49}LR chi2({res}94{txt}){col 67}= {res}    961.18
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3419.4015{txt}{col 49}Pseudo R2{col 67}= {res}    0.1232

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.240683{col 29}{space 2} .1465747{col 40}{space 1}    8.46{col 49}{space 3}0.000{col 57}{space 4} .9534024{col 70}{space 3} 1.527964
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.1414272{col 29}{space 2} .0138174{col 40}{space 1}  -10.24{col 49}{space 3}0.000{col 57}{space 4}-.1685088{col 70}{space 3}-.1143456
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2}  .322482{col 29}{space 2} .0883055{col 40}{space 1}    3.65{col 49}{space 3}0.000{col 57}{space 4} .1494065{col 70}{space 3} .4955575
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.2255034{col 29}{space 2} .1753062{col 40}{space 1}   -1.29{col 49}{space 3}0.198{col 57}{space 4}-.5690972{col 70}{space 3} .1180903
{txt}{space 5}elite_pact {c |}{col 17}{res}{space 2} .9172211{col 29}{space 2} .5327089{col 40}{space 1}    1.72{col 49}{space 3}0.085{col 57}{space 4}-.1268692{col 70}{space 3} 1.961311
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}260  {c |}{col 17}{res}{space 2} 1.822446{col 29}{space 2} .4317238{col 40}{space 1}    4.22{col 49}{space 3}0.000{col 57}{space 4} .9762831{col 70}{space 3} 2.668609
{txt}{space 11}265  {c |}{col 17}{res}{space 2} .3205004{col 29}{space 2} .4690006{col 40}{space 1}    0.68{col 49}{space 3}0.494{col 57}{space 4}-.5987238{col 70}{space 3} 1.239725
{txt}{space 11}270  {c |}{col 17}{res}{space 2} .2722063{col 29}{space 2} .5021183{col 40}{space 1}    0.54{col 49}{space 3}0.588{col 57}{space 4}-.7119275{col 70}{space 3}  1.25634
{txt}{space 11}280  {c |}{col 17}{res}{space 2} 1.826427{col 29}{space 2} .3932194{col 40}{space 1}    4.64{col 49}{space 3}0.000{col 57}{space 4} 1.055731{col 70}{space 3} 2.597123
{txt}{space 11}284  {c |}{col 17}{res}{space 2} 1.792858{col 29}{space 2} .4411326{col 40}{space 1}    4.06{col 49}{space 3}0.000{col 57}{space 4} .9282544{col 70}{space 3} 2.657462
{txt}{space 11}290  {c |}{col 17}{res}{space 2}-.1392103{col 29}{space 2} .5238786{col 40}{space 1}   -0.27{col 49}{space 3}0.790{col 57}{space 4}-1.165994{col 70}{space 3} .8875729
{txt}{space 11}300  {c |}{col 17}{res}{space 2} 1.713449{col 29}{space 2} .4140659{col 40}{space 1}    4.14{col 49}{space 3}0.000{col 57}{space 4} .9018948{col 70}{space 3} 2.525003
{txt}{space 11}302  {c |}{col 17}{res}{space 2} 1.054729{col 29}{space 2} .4193083{col 40}{space 1}    2.52{col 49}{space 3}0.012{col 57}{space 4} .2328995{col 70}{space 3} 1.876558
{txt}{space 11}304  {c |}{col 17}{res}{space 2} 2.613963{col 29}{space 2} .3966021{col 40}{space 1}    6.59{col 49}{space 3}0.000{col 57}{space 4} 1.836637{col 70}{space 3} 3.391289
{txt}{space 11}306  {c |}{col 17}{res}{space 2} 2.035933{col 29}{space 2} .3848653{col 40}{space 1}    5.29{col 49}{space 3}0.000{col 57}{space 4} 1.281611{col 70}{space 3} 2.790255
{txt}{space 11}310  {c |}{col 17}{res}{space 2}   1.0181{col 29}{space 2} .4735772{col 40}{space 1}    2.15{col 49}{space 3}0.032{col 57}{space 4} .0899054{col 70}{space 3} 1.946294
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{txt}{space 11}354  {c |}{col 17}{res}{space 2}-1.011356{col 29}{space 2} 1.055508{col 40}{space 1}   -0.96{col 49}{space 3}0.338{col 57}{space 4}-3.080113{col 70}{space 3} 1.057401
{txt}{space 11}357  {c |}{col 17}{res}{space 2}  .445492{col 29}{space 2} .4366971{col 40}{space 1}    1.02{col 49}{space 3}0.308{col 57}{space 4}-.4104186{col 70}{space 3} 1.301403
{txt}{space 11}362  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}365  {c |}{col 17}{res}{space 2} 1.477265{col 29}{space 2} .4004677{col 40}{space 1}    3.69{col 49}{space 3}0.000{col 57}{space 4} .6923632{col 70}{space 3} 2.262168
{txt}{space 11}367  {c |}{col 17}{res}{space 2}  .723096{col 29}{space 2} .4647746{col 40}{space 1}    1.56{col 49}{space 3}0.120{col 57}{space 4}-.1878455{col 70}{space 3} 1.634038
{txt}{space 11}376  {c |}{col 17}{res}{space 2} .9930781{col 29}{space 2} .4899191{col 40}{space 1}    2.03{col 49}{space 3}0.043{col 57}{space 4} .0328544{col 70}{space 3} 1.953302
{txt}{space 11}380  {c |}{col 17}{res}{space 2} .4256785{col 29}{space 2} .6780992{col 40}{space 1}    0.63{col 49}{space 3}0.530{col 57}{space 4}-.9033715{col 70}{space 3} 1.754728
{txt}{space 11}387  {c |}{col 17}{res}{space 2} .1587424{col 29}{space 2} .6713331{col 40}{space 1}    0.24{col 49}{space 3}0.813{col 57}{space 4}-1.157046{col 70}{space 3} 1.474531
{txt}{space 11}390  {c |}{col 17}{res}{space 2}-1.725281{col 29}{space 2} .8295969{col 40}{space 1}   -2.08{col 49}{space 3}0.038{col 57}{space 4}-3.351261{col 70}{space 3}-.0993006
{txt}{space 11}393  {c |}{col 17}{res}{space 2} 1.988097{col 29}{space 2}   .45151{col 40}{space 1}    4.40{col 49}{space 3}0.000{col 57}{space 4} 1.103153{col 70}{space 3}  2.87304
{txt}{space 11}395  {c |}{col 17}{res}{space 2}-.5744364{col 29}{space 2} .6649716{col 40}{space 1}   -0.86{col 49}{space 3}0.388{col 57}{space 4}-1.877757{col 70}{space 3}  .728884
{txt}{space 11}398  {c |}{col 17}{res}{space 2} 1.435296{col 29}{space 2} .5417371{col 40}{space 1}    2.65{col 49}{space 3}0.008{col 57}{space 4} .3735104{col 70}{space 3} 2.497081
{txt}{space 11}401  {c |}{col 17}{res}{space 2}-.8072445{col 29}{space 2} .7807718{col 40}{space 1}   -1.03{col 49}{space 3}0.301{col 57}{space 4}-2.337529{col 70}{space 3} .7230401
{txt}{space 11}402  {c |}{col 17}{res}{space 2}-1.958719{col 29}{space 2} 1.052382{col 40}{space 1}   -1.86{col 49}{space 3}0.063{col 57}{space 4}-4.021351{col 70}{space 3} .1039125
{txt}{space 11}409  {c |}{col 17}{res}{space 2} 2.341782{col 29}{space 2} .3789105{col 40}{space 1}    6.18{col 49}{space 3}0.000{col 57}{space 4} 1.599131{col 70}{space 3} 3.084433
{txt}{space 11}411  {c |}{col 17}{res}{space 2}-.7619823{col 29}{space 2} .5532278{col 40}{space 1}   -1.38{col 49}{space 3}0.168{col 57}{space 4}-1.846289{col 70}{space 3} .3223243
{txt}{space 11}417  {c |}{col 17}{res}{space 2} 1.408268{col 29}{space 2}  .402807{col 40}{space 1}    3.50{col 49}{space 3}0.000{col 57}{space 4} .6187804{col 70}{space 3} 2.197755
{txt}{space 11}419  {c |}{col 17}{res}{space 2} 1.831782{col 29}{space 2} .3815557{col 40}{space 1}    4.80{col 49}{space 3}0.000{col 57}{space 4} 1.083947{col 70}{space 3} 2.579618
{txt}{space 11}428  {c |}{col 17}{res}{space 2} 1.500396{col 29}{space 2}  .478565{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4} .5624262{col 70}{space 3} 2.438366
{txt}{space 11}436  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 11}439  {c |}{col 17}{res}{space 2} 2.309109{col 29}{space 2} .4667415{col 40}{space 1}    4.95{col 49}{space 3}0.000{col 57}{space 4} 1.394312{col 70}{space 3} 3.223905
{txt}{space 11}441  {c |}{col 17}{res}{space 2}  2.99799{col 29}{space 2} .3690633{col 40}{space 1}    8.12{col 49}{space 3}0.000{col 57}{space 4} 2.274639{col 70}{space 3}  3.72134
{txt}{space 11}448  {c |}{col 17}{res}{space 2} .9646595{col 29}{space 2} .4198946{col 40}{space 1}    2.30{col 49}{space 3}0.022{col 57}{space 4} .1416812{col 70}{space 3} 1.787638
{txt}{space 11}464  {c |}{col 17}{res}{space 2} 1.439436{col 29}{space 2} .4071244{col 40}{space 1}    3.54{col 49}{space 3}0.000{col 57}{space 4}  .641487{col 70}{space 3} 2.237385
{txt}{space 11}472  {c |}{col 17}{res}{space 2} 1.285056{col 29}{space 2} .6831532{col 40}{space 1}    1.88{col 49}{space 3}0.060{col 57}{space 4}-.0538999{col 70}{space 3} 2.624011
{txt}{space 11}474  {c |}{col 17}{res}{space 2} 1.748673{col 29}{space 2} .3955355{col 40}{space 1}    4.42{col 49}{space 3}0.000{col 57}{space 4} .9734381{col 70}{space 3} 2.523909
{txt}{space 11}476  {c |}{col 17}{res}{space 2} .9314243{col 29}{space 2} .4487768{col 40}{space 1}    2.08{col 49}{space 3}0.038{col 57}{space 4}  .051838{col 70}{space 3} 1.811011
{txt}{space 11}478  {c |}{col 17}{res}{space 2}-.9284257{col 29}{space 2} .7808243{col 40}{space 1}   -1.19{col 49}{space 3}0.234{col 57}{space 4}-2.458813{col 70}{space 3} .6019617
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{txt}{space 11}490  {c |}{col 17}{res}{space 2} .8894211{col 29}{space 2} .6803055{col 40}{space 1}    1.31{col 49}{space 3}0.191{col 57}{space 4}-.4439533{col 70}{space 3} 2.222795
{txt}{space 11}505  {c |}{col 17}{res}{space 2} 1.571808{col 29}{space 2} .5006629{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4} .5905266{col 70}{space 3} 2.553089
{txt}{space 11}508  {c |}{col 17}{res}{space 2}-.3548093{col 29}{space 2}  1.06131{col 40}{space 1}   -0.33{col 49}{space 3}0.738{col 57}{space 4}-2.434938{col 70}{space 3} 1.725319
{txt}{space 11}525  {c |}{col 17}{res}{space 2} .0198786{col 29}{space 2}  .667661{col 40}{space 1}    0.03{col 49}{space 3}0.976{col 57}{space 4}-1.288713{col 70}{space 3}  1.32847
{txt}{space 11}527  {c |}{col 17}{res}{space 2}  .252602{col 29}{space 2} .5013124{col 40}{space 1}    0.50{col 49}{space 3}0.614{col 57}{space 4}-.7299522{col 70}{space 3} 1.235156
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.424012{col 29}{space 2} .3523592{col 40}{space 1}  -12.56{col 49}{space 3}0.000{col 57}{space 4}-5.114623{col 70}{space 3}  -3.7334
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,949{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 27424.1
{txt}{col 15}std. dev:{res}{col 26} 16185.3

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4999{col 37}   13268{col 47}   27224{col 57}   41541{col 67}   49824

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 483.969
{txt}{col 15}std. dev:{res}{col 26} 220.025

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     365{col 47}     452{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 281.177
{txt}{col 15}std. dev:{res}{col 26} 138.643

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. *** Model 2 ***
. 
. logit major_frev $ind elite_pact female dem_const coldwar $pre $macro i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 436.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3897.6473}  
Iteration 1:{space 3}log likelihood = {res:-2822.7448}  
Iteration 2:{space 3}log likelihood = {res:-2635.9742}  
Iteration 3:{space 3}log likelihood = {res:-2309.3195}  
Iteration 4:{space 3}log likelihood = {res:-2200.5775}  
Iteration 5:{space 3}log likelihood = {res: -2179.778}  
Iteration 6:{space 3}log likelihood = {res:-2179.5192}  
Iteration 7:{space 3}log likelihood = {res:-2179.5189}  
Iteration 8:{space 3}log likelihood = {res:-2179.5189}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,909
{txt}{col 49}LR chi2({res}100{txt}){col 67}= {res}   3436.26
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2179.5189{txt}{col 49}Pseudo R2{col 67}= {res}    0.4408

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 2.146116{col 31}{space 2} .2186681{col 42}{space 1}    9.81{col 51}{space 3}0.000{col 59}{space 4} 1.717534{col 72}{space 3} 2.574697
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}  -.11114{col 31}{space 2} .0163228{col 42}{space 1}   -6.81{col 51}{space 3}0.000{col 59}{space 4}-.1431322{col 72}{space 3}-.0791478
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2988105{col 31}{space 2} .1144344{col 42}{space 1}    2.61{col 51}{space 3}0.009{col 59}{space 4} .0745232{col 72}{space 3} .5230977
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.2336999{col 31}{space 2}  .234079{col 42}{space 1}   -1.00{col 51}{space 3}0.318{col 59}{space 4}-.6924864{col 72}{space 3} .2250865
{txt}{space 7}elite_pact {c |}{col 19}{res}{space 2} 29.87643{col 31}{space 2} 2.202801{col 42}{space 1}   13.56{col 51}{space 3}0.000{col 59}{space 4} 25.55901{col 72}{space 3} 34.19384
{txt}{space 11}female {c |}{col 19}{res}{space 2} .4556963{col 31}{space 2} .1635379{col 42}{space 1}    2.79{col 51}{space 3}0.005{col 59}{space 4} .1351678{col 72}{space 3} .7762247
{txt}{space 8}dem_const {c |}{col 19}{res}{space 2}-2.132087{col 31}{space 2} .4977717{col 42}{space 1}   -4.28{col 51}{space 3}0.000{col 59}{space 4}-3.107702{col 72}{space 3}-1.156472
{txt}{space 10}coldwar {c |}{col 19}{res}{space 2} -.966915{col 31}{space 2} .6713045{col 42}{space 1}   -1.44{col 51}{space 3}0.150{col 59}{space 4}-2.282648{col 72}{space 3} .3488177
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-59.36887{col 31}{space 2} 5.075597{col 42}{space 1}  -11.70{col 51}{space 3}0.000{col 59}{space 4}-69.31686{col 72}{space 3}-49.42088
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-16.26181{col 31}{space 2} 1.535695{col 42}{space 1}  -10.59{col 51}{space 3}0.000{col 59}{space 4}-19.27172{col 72}{space 3}-13.25191
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2} 5.209602{col 31}{space 2} .8605912{col 42}{space 1}    6.05{col 51}{space 3}0.000{col 59}{space 4} 3.522874{col 72}{space 3}  6.89633
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}-10.60143{col 31}{space 2} .9565981{col 42}{space 1}  -11.08{col 51}{space 3}0.000{col 59}{space 4}-12.47632{col 72}{space 3}-8.726528
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-1.734153{col 31}{space 2} 4.085515{col 42}{space 1}   -0.42{col 51}{space 3}0.671{col 59}{space 4}-9.741616{col 72}{space 3} 6.273309
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} -34.8219{col 31}{space 2} 1.895152{col 42}{space 1}  -18.37{col 51}{space 3}0.000{col 59}{space 4}-38.53633{col 72}{space 3}-31.10747
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2}-47.83291{col 31}{space 2} 3.346631{col 42}{space 1}  -14.29{col 51}{space 3}0.000{col 59}{space 4}-54.39219{col 72}{space 3}-41.27364
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2}-67.24947{col 31}{space 2} 5.459476{col 42}{space 1}  -12.32{col 51}{space 3}0.000{col 59}{space 4}-77.94984{col 72}{space 3}-56.54909
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} 40.85544{col 31}{space 2} 2.513584{col 42}{space 1}   16.25{col 51}{space 3}0.000{col 59}{space 4}  35.9289{col 72}{space 3} 45.78197
{txt}{space 14}38  {c |}{col 19}{res}{space 2} 116.7192{col 31}{space 2} 8.017885{col 42}{space 1}   14.56{col 51}{space 3}0.000{col 59}{space 4} 101.0044{col 72}{space 3} 132.4339
{txt}{space 14}51  {c |}{col 19}{res}{space 2}-58.67821{col 31}{space 2} 3.415919{col 42}{space 1}  -17.18{col 51}{space 3}0.000{col 59}{space 4}-65.37329{col 72}{space 3}-51.98313
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 17.64472{col 31}{space 2} 3.774213{col 42}{space 1}    4.68{col 51}{space 3}0.000{col 59}{space 4}  10.2474{col 72}{space 3} 25.04204
{txt}{space 14}69  {c |}{col 19}{res}{space 2} 134.2841{col 31}{space 2} 7.687075{col 42}{space 1}   17.47{col 51}{space 3}0.000{col 59}{space 4} 119.2177{col 72}{space 3} 149.3505
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{txt}{space 13}336  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
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{txt}{space 13}362  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}390  {c |}{col 19}{res}{space 2}-23.32549{col 31}{space 2} 1.964655{col 42}{space 1}  -11.87{col 51}{space 3}0.000{col 59}{space 4}-27.17615{col 72}{space 3}-19.47484
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{txt}{space 13}395  {c |}{col 19}{res}{space 2}  46.9122{col 31}{space 2} 1.936577{col 42}{space 1}   24.22{col 51}{space 3}0.000{col 59}{space 4} 43.11658{col 72}{space 3} 50.70783
{txt}{space 13}398  {c |}{col 19}{res}{space 2}-20.96555{col 31}{space 2} 3.669291{col 42}{space 1}   -5.71{col 51}{space 3}0.000{col 59}{space 4}-28.15723{col 72}{space 3}-13.77387
{txt}{space 13}401  {c |}{col 19}{res}{space 2} 24.02313{col 31}{space 2} 1.331756{col 42}{space 1}   18.04{col 51}{space 3}0.000{col 59}{space 4} 21.41294{col 72}{space 3} 26.63332
{txt}{space 13}402  {c |}{col 19}{res}{space 2} 106.5517{col 31}{space 2} 4.675344{col 42}{space 1}   22.79{col 51}{space 3}0.000{col 59}{space 4} 97.38824{col 72}{space 3} 115.7153
{txt}{space 13}409  {c |}{col 19}{res}{space 2} -11.7717{col 31}{space 2} 1.090662{col 42}{space 1}  -10.79{col 51}{space 3}0.000{col 59}{space 4}-13.90936{col 72}{space 3}-9.634045
{txt}{space 13}411  {c |}{col 19}{res}{space 2}-11.89981{col 31}{space 2} 1.980758{col 42}{space 1}   -6.01{col 51}{space 3}0.000{col 59}{space 4}-15.78202{col 72}{space 3}-8.017594
{txt}{space 13}417  {c |}{col 19}{res}{space 2}-10.14665{col 31}{space 2}  2.63419{col 42}{space 1}   -3.85{col 51}{space 3}0.000{col 59}{space 4}-15.30957{col 72}{space 3}-4.983737
{txt}{space 13}419  {c |}{col 19}{res}{space 2}-68.06675{col 31}{space 2} 3.399541{col 42}{space 1}  -20.02{col 51}{space 3}0.000{col 59}{space 4}-74.72973{col 72}{space 3}-61.40378
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{txt}{space 13}436  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
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{txt}{space 13}505  {c |}{col 19}{res}{space 2} 48.84485{col 31}{space 2}  1.96076{col 42}{space 1}   24.91{col 51}{space 3}0.000{col 59}{space 4} 45.00183{col 72}{space 3} 52.68787
{txt}{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}525  {c |}{col 19}{res}{space 2}-33.04964{col 31}{space 2} 1.558828{col 42}{space 1}  -21.20{col 51}{space 3}0.000{col 59}{space 4}-36.10489{col 72}{space 3} -29.9944
{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 434.1869{col 31}{space 2}   18.276{col 42}{space 1}   23.76{col 51}{space 3}0.000{col 59}{space 4} 398.3666{col 72}{space 3} 470.0072
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,923{col 51}{txt}missing .:  {res}0{txt}/{res}15,909

{txt}{col 19}mean:{res}{col 26} 27423.5
{txt}{col 15}std. dev:{res}{col 26} 16189.9

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4997{col 37}   13280{col 47}   27217{col 57}   41541{col 67}   49828

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}15,909

{txt}{col 19}mean:{res}{col 26} 483.845
{txt}{col 15}std. dev:{res}{col 26} 220.155

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     365{col 47}     452{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}15,909

{txt}{col 19}mean:{res}{col 26} 280.922
{txt}{col 15}std. dev:{res}{col 26} 138.597

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. *** TSCS Models ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. *** Model 3 ***
. 
. logit major_frev $ind elite_pact i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 231 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 144 obs not used

note: 436.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6620.4189}  
Iteration 1:{space 3}log likelihood = {res: -6354.543}  
Iteration 2:{space 3}log likelihood = {res:-6088.6083}  
Iteration 3:{space 3}log likelihood = {res:-6081.4685}  
Iteration 4:{space 3}log likelihood = {res:-6044.2042}  
Iteration 5:{space 3}log likelihood = {res:-6044.1906}  
Iteration 6:{space 3}log likelihood = {res:-6044.1846}  
Iteration 7:{space 3}log likelihood = {res:-6044.1838}  (backed up)
Iteration 8:{space 3}log likelihood = {res:-6044.1838}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-6044.1837}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-6044.1837}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-6044.1837}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-5863.2213}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-5860.6796}  
Iteration 14:{space 2}log likelihood = {res:-5860.6554}  
Iteration 15:{space 2}log likelihood = {res:-5860.6554}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   200,668
{txt}{col 49}LR chi2({res}94{txt}){col 67}= {res}   1519.53
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5860.6554{txt}{col 49}Pseudo R2{col 67}= {res}    0.1148

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
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{txt}{space 15} {c |}
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{txt}{space 11}505  {c |}{col 17}{res}{space 2} 1.461158{col 29}{space 2} .4796655{col 40}{space 1}    3.05{col 49}{space 3}0.002{col 57}{space 4} .5210307{col 70}{space 3} 2.401285
{txt}{space 11}508  {c |}{col 17}{res}{space 2}-2.319087{col 29}{space 2} 1.049536{col 40}{space 1}   -2.21{col 49}{space 3}0.027{col 57}{space 4}-4.376139{col 70}{space 3}-.2620347
{txt}{space 11}525  {c |}{col 17}{res}{space 2} .0245447{col 29}{space 2} .6606696{col 40}{space 1}    0.04{col 49}{space 3}0.970{col 57}{space 4}-1.270344{col 70}{space 3} 1.319433
{txt}{space 11}527  {c |}{col 17}{res}{space 2}-.3412584{col 29}{space 2} .4943943{col 40}{space 1}   -0.69{col 49}{space 3}0.490{col 57}{space 4}-1.310253{col 70}{space 3} .6277365
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-5.952993{col 29}{space 2} .3473384{col 40}{space 1}  -17.14{col 49}{space 3}0.000{col 57}{space 4}-6.633764{col 70}{space 3}-5.272222
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,949{col 51}{txt}missing .:  {res}0{txt}/{res}200,668

{txt}{col 19}mean:{res}{col 26} 27434.1
{txt}{col 15}std. dev:{res}{col 26}   15722

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6363{col 37}   14029{col 47}   26686{col 57}   41393{col 67}   49689

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}200,668

{txt}{col 19}mean:{res}{col 26} 430.225
{txt}{col 15}std. dev:{res}{col 26} 237.275

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     235{col 47}     436{col 57}     625{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}200,668

{txt}{col 19}mean:{res}{col 26} 285.278
{txt}{col 15}std. dev:{res}{col 26} 134.696

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     304{col 57}     395{col 67}     436
{txt}
{com}. 
. *** Model 4 ***
. 
. logit major_frev $ind elite_pact $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 219 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

note: 436.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res: -6164.553}  
Iteration 1:{space 3}log likelihood = {res:-5577.3921}  
Iteration 2:{space 3}log likelihood = {res:-4879.2475}  
Iteration 3:{space 3}log likelihood = {res:-4563.4198}  
Iteration 4:{space 3}log likelihood = {res: -4542.439}  
Iteration 5:{space 3}log likelihood = {res:-4506.0479}  
Iteration 6:{space 3}log likelihood = {res:-4506.0477}  
Iteration 7:{space 3}log likelihood = {res:-4506.0477}  
Iteration 8:{space 3}log likelihood = {res:-4506.0476}  
Iteration 9:{space 3}log likelihood = {res:-4506.0476}  
Iteration 10:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4506.0476}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4398.8588}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4356.1752}  
Iteration 19:{space 2}log likelihood = {res:-4355.7063}  
Iteration 20:{space 2}log likelihood = {res:-4355.7051}  
Iteration 21:{space 2}log likelihood = {res:-4355.7051}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,990
{txt}{col 49}LR chi2({res}94{txt}){col 67}= {res}   3617.70
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4355.7051{txt}{col 49}Pseudo R2{col 67}= {res}    0.2934

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.223257{col 29}{space 2} .1565125{col 40}{space 1}    7.82{col 49}{space 3}0.000{col 57}{space 4} .9164987{col 70}{space 3} 1.530016
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.1094972{col 29}{space 2} .0136258{col 40}{space 1}   -8.04{col 49}{space 3}0.000{col 57}{space 4}-.1362033{col 70}{space 3}-.0827911
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2}  .242798{col 29}{space 2} .0885154{col 40}{space 1}    2.74{col 49}{space 3}0.006{col 57}{space 4}  .069311{col 70}{space 3}  .416285
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.2105031{col 29}{space 2} .1801253{col 40}{space 1}   -1.17{col 49}{space 3}0.243{col 57}{space 4}-.5635422{col 70}{space 3}  .142536
{txt}{space 5}elite_pact {c |}{col 17}{res}{space 2} .3299325{col 29}{space 2} .6509974{col 40}{space 1}    0.51{col 49}{space 3}0.612{col 57}{space 4} -.945999{col 70}{space 3} 1.605864
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2}-.1117965{col 29}{space 2}  .015391{col 40}{space 1}   -7.26{col 49}{space 3}0.000{col 57}{space 4}-.1419622{col 70}{space 3}-.0816308
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.1849805{col 29}{space 2} .0082563{col 40}{space 1}  -22.40{col 49}{space 3}0.000{col 57}{space 4}-.2011626{col 70}{space 3}-.1687984
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}11  {c |}{col 17}{res}{space 2}  .281647{col 29}{space 2} .6509295{col 40}{space 1}    0.43{col 49}{space 3}0.665{col 57}{space 4}-.9941513{col 70}{space 3} 1.557445
{txt}{space 12}21  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} 1.338661{col 29}{space 2} .6105692{col 40}{space 1}    2.19{col 49}{space 3}0.028{col 57}{space 4} .1419671{col 70}{space 3} 2.535354
{txt}{space 12}31  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 12}38  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 12}82  {c |}{col 17}{res}{space 2} 1.448508{col 29}{space 2} .5796866{col 40}{space 1}    2.50{col 49}{space 3}0.012{col 57}{space 4} .3123432{col 70}{space 3} 2.584673
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{space 11}120  {c |}{col 17}{res}{space 2} 1.739759{col 29}{space 2} .5798796{col 40}{space 1}    3.00{col 49}{space 3}0.003{col 57}{space 4}  .603216{col 70}{space 3} 2.876302
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{txt}{space 11}147  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}188  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}376  {c |}{col 17}{res}{space 2} .7715563{col 29}{space 2} .6175427{col 40}{space 1}    1.25{col 49}{space 3}0.212{col 57}{space 4}-.4388051{col 70}{space 3} 1.981918
{txt}{space 11}380  {c |}{col 17}{res}{space 2} .3531072{col 29}{space 2} .6527814{col 40}{space 1}    0.54{col 49}{space 3}0.589{col 57}{space 4}-.9263209{col 70}{space 3} 1.632535
{txt}{space 11}387  {c |}{col 17}{res}{space 2}-.4879937{col 29}{space 2} .7681754{col 40}{space 1}   -0.64{col 49}{space 3}0.525{col 57}{space 4} -1.99359{col 70}{space 3} 1.017603
{txt}{space 11}390  {c |}{col 17}{res}{space 2}-.8864103{col 29}{space 2} .8196858{col 40}{space 1}   -1.08{col 49}{space 3}0.280{col 57}{space 4}-2.492965{col 70}{space 3} .7201443
{txt}{space 11}393  {c |}{col 17}{res}{space 2} .9994867{col 29}{space 2} .5836437{col 40}{space 1}    1.71{col 49}{space 3}0.087{col 57}{space 4}-.1444339{col 70}{space 3} 2.143407
{txt}{space 11}395  {c |}{col 17}{res}{space 2}-.9382904{col 29}{space 2} .7672309{col 40}{space 1}   -1.22{col 49}{space 3}0.221{col 57}{space 4}-2.442035{col 70}{space 3} .5654545
{txt}{space 11}398  {c |}{col 17}{res}{space 2} 1.112031{col 29}{space 2} .6529781{col 40}{space 1}    1.70{col 49}{space 3}0.089{col 57}{space 4} -.167782{col 70}{space 3} 2.391845
{txt}{space 11}401  {c |}{col 17}{res}{space 2}-.9572407{col 29}{space 2} .8696082{col 40}{space 1}   -1.10{col 49}{space 3}0.271{col 57}{space 4}-2.661642{col 70}{space 3} .7471601
{txt}{space 11}402  {c |}{col 17}{res}{space 2}-1.838043{col 29}{space 2} 1.120943{col 40}{space 1}   -1.64{col 49}{space 3}0.101{col 57}{space 4}-4.035051{col 70}{space 3} .3589651
{txt}{space 11}409  {c |}{col 17}{res}{space 2} 2.063647{col 29}{space 2} .5367958{col 40}{space 1}    3.84{col 49}{space 3}0.000{col 57}{space 4} 1.011547{col 70}{space 3} 3.115747
{txt}{space 11}411  {c |}{col 17}{res}{space 2}-.8193753{col 29}{space 2}  .674469{col 40}{space 1}   -1.21{col 49}{space 3}0.224{col 57}{space 4} -2.14131{col 70}{space 3} .5025597
{txt}{space 11}417  {c |}{col 17}{res}{space 2} 1.835465{col 29}{space 2} .6055055{col 40}{space 1}    3.03{col 49}{space 3}0.002{col 57}{space 4}  .648696{col 70}{space 3} 3.022234
{txt}{space 11}419  {c |}{col 17}{res}{space 2} 1.823571{col 29}{space 2} .5402107{col 40}{space 1}    3.38{col 49}{space 3}0.001{col 57}{space 4} .7647772{col 70}{space 3} 2.882364
{txt}{space 11}428  {c |}{col 17}{res}{space 2} 1.634694{col 29}{space 2} .4588687{col 40}{space 1}    3.56{col 49}{space 3}0.000{col 57}{space 4} .7353277{col 70}{space 3}  2.53406
{txt}{space 11}436  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 11}439  {c |}{col 17}{res}{space 2} .8989246{col 29}{space 2} .6336559{col 40}{space 1}    1.42{col 49}{space 3}0.156{col 57}{space 4}-.3430181{col 70}{space 3} 2.140867
{txt}{space 11}441  {c |}{col 17}{res}{space 2} 2.546731{col 29}{space 2} .5288759{col 40}{space 1}    4.82{col 49}{space 3}0.000{col 57}{space 4} 1.510153{col 70}{space 3} 3.583308
{txt}{space 11}448  {c |}{col 17}{res}{space 2} 1.068055{col 29}{space 2} .5689709{col 40}{space 1}    1.88{col 49}{space 3}0.060{col 57}{space 4}-.0471072{col 70}{space 3} 2.183218
{txt}{space 11}464  {c |}{col 17}{res}{space 2} 1.155298{col 29}{space 2} .5588064{col 40}{space 1}    2.07{col 49}{space 3}0.039{col 57}{space 4} .0600573{col 70}{space 3} 2.250538
{txt}{space 11}472  {c |}{col 17}{res}{space 2} 1.221313{col 29}{space 2} 1.136314{col 40}{space 1}    1.07{col 49}{space 3}0.282{col 57}{space 4}-1.005823{col 70}{space 3} 3.448448
{txt}{space 11}474  {c |}{col 17}{res}{space 2}  1.84591{col 29}{space 2} .5603496{col 40}{space 1}    3.29{col 49}{space 3}0.001{col 57}{space 4} .7476448{col 70}{space 3} 2.944175
{txt}{space 11}476  {c |}{col 17}{res}{space 2} 1.021457{col 29}{space 2} .5900562{col 40}{space 1}    1.73{col 49}{space 3}0.083{col 57}{space 4}-.1350314{col 70}{space 3} 2.177946
{txt}{space 11}478  {c |}{col 17}{res}{space 2}-.1686649{col 29}{space 2} .8731089{col 40}{space 1}   -0.19{col 49}{space 3}0.847{col 57}{space 4}-1.879927{col 70}{space 3} 1.542597
{txt}{space 11}483  {c |}{col 17}{res}{space 2} .4577652{col 29}{space 2}  .606027{col 40}{space 1}    0.76{col 49}{space 3}0.450{col 57}{space 4}-.7300259{col 70}{space 3} 1.645556
{txt}{space 11}490  {c |}{col 17}{res}{space 2}-.2837283{col 29}{space 2} .7691851{col 40}{space 1}   -0.37{col 49}{space 3}0.712{col 57}{space 4}-1.791303{col 70}{space 3} 1.223847
{txt}{space 11}505  {c |}{col 17}{res}{space 2} .7019837{col 29}{space 2} .6201353{col 40}{space 1}    1.13{col 49}{space 3}0.258{col 57}{space 4}-.5134591{col 70}{space 3} 1.917427
{txt}{space 11}508  {c |}{col 17}{res}{space 2}-1.169689{col 29}{space 2} 1.121689{col 40}{space 1}   -1.04{col 49}{space 3}0.297{col 57}{space 4}-3.368158{col 70}{space 3} 1.028781
{txt}{space 11}525  {c |}{col 17}{res}{space 2}-1.002413{col 29}{space 2} 1.121814{col 40}{space 1}   -0.89{col 49}{space 3}0.372{col 57}{space 4}-3.201128{col 70}{space 3} 1.196302
{txt}{space 11}527  {c |}{col 17}{res}{space 2} .6118871{col 29}{space 2} .6317596{col 40}{space 1}    0.97{col 49}{space 3}0.333{col 57}{space 4}-.6263389{col 70}{space 3} 1.850113
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.267781{col 29}{space 2} .5284587{col 40}{space 1}   -8.08{col 49}{space 3}0.000{col 57}{space 4}-5.303541{col 70}{space 3}-3.232021
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 14 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,648{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 27444.2
{txt}{col 15}std. dev:{res}{col 26} 15689.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6432{col 37}   14046{col 47}   26631{col 57}   41393{col 67}   49691

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26}  424.41
{txt}{col 15}std. dev:{res}{col 26} 236.453

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,990

{txt}{col 19}mean:{res}{col 26} 287.018
{txt}{col 15}std. dev:{res}{col 26} 134.456

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. *** Model 5 ***
. 
. logit major_frev $ind elite_pact female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 436.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6161.6342}  
Iteration 1:{space 3}log likelihood = {res:-5532.1257}  
Iteration 2:{space 3}log likelihood = {res:-4847.2984}  
Iteration 3:{space 3}log likelihood = {res:-4548.2454}  
Iteration 4:{space 3}log likelihood = {res:-4525.6029}  
Iteration 5:{space 3}log likelihood = {res:-4488.3588}  
Iteration 6:{space 3}log likelihood = {res:-4488.3538}  
Iteration 7:{space 3}log likelihood = {res:-4488.3536}  
Iteration 8:{space 3}log likelihood = {res:-4488.3535}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-4488.3535}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-4488.3535}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4488.3535}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4488.3535}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4488.3535}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4488.3535}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4488.3535}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4488.3535}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4365.5441}  (backed up)
Iteration 18:{space 2}log likelihood = {res:-4343.1635}  
Iteration 19:{space 2}log likelihood = {res:-4339.5761}  
Iteration 20:{space 2}log likelihood = {res: -4337.974}  
Iteration 21:{space 2}log likelihood = {res: -4337.967}  
Iteration 22:{space 2}log likelihood = {res: -4337.967}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,408
{txt}{col 49}LR chi2({res}100{txt}){col 67}= {res}   3647.33
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -4337.967{txt}{col 49}Pseudo R2{col 67}= {res}    0.2960

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 1.214075{col 31}{space 2} .1566696{col 42}{space 1}    7.75{col 51}{space 3}0.000{col 59}{space 4}  .907008{col 72}{space 3} 1.521142
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.1092369{col 31}{space 2} .0136215{col 42}{space 1}   -8.02{col 51}{space 3}0.000{col 59}{space 4}-.1359346{col 72}{space 3}-.0825392
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2472357{col 31}{space 2} .0889286{col 42}{space 1}    2.78{col 51}{space 3}0.005{col 59}{space 4} .0729387{col 72}{space 3} .4215326
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.2104953{col 31}{space 2} .1804636{col 42}{space 1}   -1.17{col 51}{space 3}0.243{col 59}{space 4}-.5641974{col 72}{space 3} .1432069
{txt}{space 7}elite_pact {c |}{col 19}{res}{space 2}-1.864486{col 31}{space 2}  1.06656{col 42}{space 1}   -1.75{col 51}{space 3}0.080{col 59}{space 4}-3.954905{col 72}{space 3} .2259331
{txt}{space 11}female {c |}{col 19}{res}{space 2} .1021842{col 31}{space 2}  .127494{col 42}{space 1}    0.80{col 51}{space 3}0.423{col 59}{space 4}-.1476995{col 72}{space 3} .3520678
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2}-.7230222{col 31}{space 2}  .216734{col 42}{space 1}   -3.34{col 51}{space 3}0.001{col 59}{space 4}-1.147813{col 72}{space 3}-.2982314
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2} -.142849{col 31}{space 2} .2197362{col 42}{space 1}   -0.65{col 51}{space 3}0.516{col 59}{space 4} -.573524{col 72}{space 3} .2878261
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-3.725218{col 31}{space 2} 2.561643{col 42}{space 1}   -1.45{col 51}{space 3}0.146{col 59}{space 4}-8.745947{col 72}{space 3} 1.295511
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-1.781953{col 31}{space 2} .7616046{col 42}{space 1}   -2.34{col 51}{space 3}0.019{col 59}{space 4}-3.274671{col 72}{space 3}-.2892358
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}-2.298588{col 31}{space 2} .6606877{col 42}{space 1}   -3.48{col 51}{space 3}0.001{col 59}{space 4}-3.593512{col 72}{space 3}-1.003664
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2} 1.709093{col 31}{space 2} .4434943{col 42}{space 1}    3.85{col 51}{space 3}0.000{col 59}{space 4} .8398599{col 72}{space 3} 2.578326
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-2.413174{col 31}{space 2} .6332213{col 42}{space 1}   -3.81{col 51}{space 3}0.000{col 59}{space 4}-3.654265{col 72}{space 3}-1.172084
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} .8170529{col 31}{space 2}  1.10805{col 42}{space 1}    0.74{col 51}{space 3}0.461{col 59}{space 4}-1.354685{col 72}{space 3}  2.98879
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2}-.1599578{col 31}{space 2} .0317168{col 42}{space 1}   -5.04{col 51}{space 3}0.000{col 59}{space 4}-.2221216{col 72}{space 3}-.0977939
{txt}{space 4}yr_since_exit {c |}{col 19}{res}{space 2}-.1841574{col 31}{space 2} .0082496{col 42}{space 1}  -22.32{col 51}{space 3}0.000{col 59}{space 4}-.2003262{col 72}{space 3}-.1679885
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2}  .627003{col 31}{space 2} 1.783605{col 42}{space 1}    0.35{col 51}{space 3}0.725{col 59}{space 4}-2.868799{col 72}{space 3} 4.122805
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2} .4948735{col 31}{space 2}  2.68947{col 42}{space 1}    0.18{col 51}{space 3}0.854{col 59}{space 4} -4.77639{col 72}{space 3} 5.766137
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} .4008072{col 31}{space 2}  1.35432{col 42}{space 1}    0.30{col 51}{space 3}0.767{col 59}{space 4}-2.253612{col 72}{space 3} 3.055226
{txt}{space 14}38  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}51  {c |}{col 19}{res}{space 2} 4.340107{col 31}{space 2} 2.208141{col 42}{space 1}    1.97{col 51}{space 3}0.049{col 59}{space 4} .0122308{col 72}{space 3} 8.667984
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 3.253158{col 31}{space 2} 1.351164{col 42}{space 1}    2.41{col 51}{space 3}0.016{col 59}{space 4} .6049255{col 72}{space 3} 5.901391
{txt}{space 14}69  {c |}{col 19}{res}{space 2} .6194884{col 31}{space 2} 4.351136{col 42}{space 1}    0.14{col 51}{space 3}0.887{col 59}{space 4}-7.908581{col 72}{space 3} 9.147557
{txt}{space 14}71  {c |}{col 19}{res}{space 2}  1.05949{col 31}{space 2} 1.145555{col 42}{space 1}    0.92{col 51}{space 3}0.355{col 59}{space 4}-1.185757{col 72}{space 3} 3.304737
{txt}{space 14}78  {c |}{col 19}{res}{space 2} 1.522417{col 31}{space 2} 1.023388{col 42}{space 1}    1.49{col 51}{space 3}0.137{col 59}{space 4}-.4833874{col 72}{space 3} 3.528221
{txt}{space 14}82  {c |}{col 19}{res}{space 2} 5.060234{col 31}{space 2} 1.443652{col 42}{space 1}    3.51{col 51}{space 3}0.000{col 59}{space 4} 2.230728{col 72}{space 3}  7.88974
{txt}{space 14}85  {c |}{col 19}{res}{space 2} 4.060949{col 31}{space 2} 1.693369{col 42}{space 1}    2.40{col 51}{space 3}0.016{col 59}{space 4} .7420071{col 72}{space 3}  7.37989
{txt}{space 14}98  {c |}{col 19}{res}{space 2} 6.119047{col 31}{space 2} 1.430589{col 42}{space 1}    4.28{col 51}{space 3}0.000{col 59}{space 4} 3.315144{col 72}{space 3} 8.922951
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2}  3.30199{col 31}{space 2}  2.07636{col 42}{space 1}    1.59{col 51}{space 3}0.112{col 59}{space 4}-.7676001{col 72}{space 3}  7.37158
{txt}{space 13}141  {c |}{col 19}{res}{space 2} 1.107357{col 31}{space 2} 2.062973{col 42}{space 1}    0.54{col 51}{space 3}0.591{col 59}{space 4}-2.935996{col 72}{space 3}  5.15071
{txt}{space 13}147  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2} 1.291253{col 31}{space 2} 1.561095{col 42}{space 1}    0.83{col 51}{space 3}0.408{col 59}{space 4}-1.768436{col 72}{space 3} 4.350943
{txt}{space 13}154  {c |}{col 19}{res}{space 2}-1.523793{col 31}{space 2} 3.990385{col 42}{space 1}   -0.38{col 51}{space 3}0.703{col 59}{space 4}-9.344805{col 72}{space 3} 6.297219
{txt}{space 13}159  {c |}{col 19}{res}{space 2} 4.620758{col 31}{space 2} 1.717162{col 42}{space 1}    2.69{col 51}{space 3}0.007{col 59}{space 4} 1.255183{col 72}{space 3} 7.986333
{txt}{space 13}170  {c |}{col 19}{res}{space 2} 4.474805{col 31}{space 2}  3.05822{col 42}{space 1}    1.46{col 51}{space 3}0.143{col 59}{space 4}-1.519196{col 72}{space 3} 10.46881
{txt}{space 13}174  {c |}{col 19}{res}{space 2} .2789183{col 31}{space 2} 2.450655{col 42}{space 1}    0.11{col 51}{space 3}0.909{col 59}{space 4}-4.524276{col 72}{space 3} 5.082113
{txt}{space 13}180  {c |}{col 19}{res}{space 2} 3.233231{col 31}{space 2} 1.635144{col 42}{space 1}    1.98{col 51}{space 3}0.048{col 59}{space 4} .0284081{col 72}{space 3} 6.438053
{txt}{space 13}182  {c |}{col 19}{res}{space 2} 1.138023{col 31}{space 2} 2.017977{col 42}{space 1}    0.56{col 51}{space 3}0.573{col 59}{space 4}-2.817139{col 72}{space 3} 5.093185
{txt}{space 13}184  {c |}{col 19}{res}{space 2} .4206383{col 31}{space 2} .8795578{col 42}{space 1}    0.48{col 51}{space 3}0.632{col 59}{space 4}-1.303263{col 72}{space 3}  2.14454
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}196  {c |}{col 19}{res}{space 2} 2.614358{col 31}{space 2} 2.063155{col 42}{space 1}    1.27{col 51}{space 3}0.205{col 59}{space 4}-1.429351{col 72}{space 3} 6.658066
{txt}{space 13}200  {c |}{col 19}{res}{space 2} 2.815047{col 31}{space 2}  3.92603{col 42}{space 1}    0.72{col 51}{space 3}0.473{col 59}{space 4}-4.879831{col 72}{space 3} 10.50993
{txt}{space 13}203  {c |}{col 19}{res}{space 2} 5.912868{col 31}{space 2} 3.706629{col 42}{space 1}    1.60{col 51}{space 3}0.111{col 59}{space 4}-1.351991{col 72}{space 3} 13.17773
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{txt}{space 13}320  {c |}{col 19}{res}{space 2}-4.020784{col 31}{space 2} 2.392376{col 42}{space 1}   -1.68{col 51}{space 3}0.093{col 59}{space 4}-8.709755{col 72}{space 3} .6681874
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{txt}{space 13}336  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}341  {c |}{col 19}{res}{space 2} 2.530434{col 31}{space 2}  1.51825{col 42}{space 1}    1.67{col 51}{space 3}0.096{col 59}{space 4}-.4452816{col 72}{space 3}  5.50615
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{txt}{space 13}357  {c |}{col 19}{res}{space 2} .1975654{col 31}{space 2}  4.20521{col 42}{space 1}    0.05{col 51}{space 3}0.963{col 59}{space 4}-8.044494{col 72}{space 3} 8.439625
{txt}{space 13}362  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}365  {c |}{col 19}{res}{space 2} 1.303037{col 31}{space 2} 4.010654{col 42}{space 1}    0.32{col 51}{space 3}0.745{col 59}{space 4}-6.557701{col 72}{space 3} 9.163776
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{txt}{space 13}380  {c |}{col 19}{res}{space 2} 2.468124{col 31}{space 2} 1.878897{col 42}{space 1}    1.31{col 51}{space 3}0.189{col 59}{space 4}-1.214445{col 72}{space 3} 6.150694
{txt}{space 13}387  {c |}{col 19}{res}{space 2} .5497143{col 31}{space 2} 2.271792{col 42}{space 1}    0.24{col 51}{space 3}0.809{col 59}{space 4}-3.902916{col 72}{space 3} 5.002344
{txt}{space 13}390  {c |}{col 19}{res}{space 2}-.0981417{col 31}{space 2} 1.027606{col 42}{space 1}   -0.10{col 51}{space 3}0.924{col 59}{space 4}-2.112212{col 72}{space 3} 1.915928
{txt}{space 13}393  {c |}{col 19}{res}{space 2} .7152988{col 31}{space 2} .9150369{col 42}{space 1}    0.78{col 51}{space 3}0.434{col 59}{space 4}-1.078141{col 72}{space 3} 2.508738
{txt}{space 13}395  {c |}{col 19}{res}{space 2}-3.528728{col 31}{space 2}  1.38676{col 42}{space 1}   -2.54{col 51}{space 3}0.011{col 59}{space 4}-6.246727{col 72}{space 3}-.8107292
{txt}{space 13}398  {c |}{col 19}{res}{space 2} -.142242{col 31}{space 2} 1.639438{col 42}{space 1}   -0.09{col 51}{space 3}0.931{col 59}{space 4}-3.355482{col 72}{space 3} 3.070998
{txt}{space 13}401  {c |}{col 19}{res}{space 2}-2.337087{col 31}{space 2} 1.023751{col 42}{space 1}   -2.28{col 51}{space 3}0.022{col 59}{space 4}-4.343601{col 72}{space 3}-.3305728
{txt}{space 13}402  {c |}{col 19}{res}{space 2} -7.73654{col 31}{space 2} 3.659737{col 42}{space 1}   -2.11{col 51}{space 3}0.035{col 59}{space 4}-14.90949{col 72}{space 3}-.5635867
{txt}{space 13}409  {c |}{col 19}{res}{space 2}  3.42679{col 31}{space 2} .7167039{col 42}{space 1}    4.78{col 51}{space 3}0.000{col 59}{space 4} 2.022077{col 72}{space 3} 4.831504
{txt}{space 13}411  {c |}{col 19}{res}{space 2}-2.536877{col 31}{space 2}  .811848{col 42}{space 1}   -3.12{col 51}{space 3}0.002{col 59}{space 4} -4.12807{col 72}{space 3}-.9456844
{txt}{space 13}417  {c |}{col 19}{res}{space 2} 5.085721{col 31}{space 2} 1.303006{col 42}{space 1}    3.90{col 51}{space 3}0.000{col 59}{space 4} 2.531876{col 72}{space 3} 7.639565
{txt}{space 13}419  {c |}{col 19}{res}{space 2} 4.494214{col 31}{space 2} 2.382033{col 42}{space 1}    1.89{col 51}{space 3}0.059{col 59}{space 4}-.1744854{col 72}{space 3} 9.162913
{txt}{space 13}428  {c |}{col 19}{res}{space 2} 1.318159{col 31}{space 2} 1.359252{col 42}{space 1}    0.97{col 51}{space 3}0.332{col 59}{space 4}-1.345926{col 72}{space 3} 3.982243
{txt}{space 13}436  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}439  {c |}{col 19}{res}{space 2}-.1470212{col 31}{space 2} .5922232{col 42}{space 1}   -0.25{col 51}{space 3}0.804{col 59}{space 4}-1.307757{col 72}{space 3} 1.013715
{txt}{space 13}441  {c |}{col 19}{res}{space 2}-.4248501{col 31}{space 2}  .848993{col 42}{space 1}   -0.50{col 51}{space 3}0.617{col 59}{space 4}-2.088846{col 72}{space 3} 1.239146
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{txt}{space 13}464  {c |}{col 19}{res}{space 2}-3.666335{col 31}{space 2} 1.272337{col 42}{space 1}   -2.88{col 51}{space 3}0.004{col 59}{space 4}-6.160069{col 72}{space 3}-1.172602
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{txt}{space 13}474  {c |}{col 19}{res}{space 2} 1.687848{col 31}{space 2} 3.370057{col 42}{space 1}    0.50{col 51}{space 3}0.616{col 59}{space 4}-4.917342{col 72}{space 3} 8.293037
{txt}{space 13}476  {c |}{col 19}{res}{space 2}   .24443{col 31}{space 2}  3.46316{col 42}{space 1}    0.07{col 51}{space 3}0.944{col 59}{space 4} -6.54324{col 72}{space 3}   7.0321
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{txt}{space 13}505  {c |}{col 19}{res}{space 2}-2.858114{col 31}{space 2} 1.539339{col 42}{space 1}   -1.86{col 51}{space 3}0.063{col 59}{space 4}-5.875162{col 72}{space 3} .1589345
{txt}{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}525  {c |}{col 19}{res}{space 2}  .369879{col 31}{space 2}  1.35596{col 42}{space 1}    0.27{col 51}{space 3}0.785{col 59}{space 4}-2.287753{col 72}{space 3} 3.027511
{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} -23.3887{col 31}{space 2} 12.45064{col 42}{space 1}   -1.88{col 51}{space 3}0.060{col 59}{space 4}-47.79151{col 72}{space 3} 1.014101
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 9 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,622{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 27442.6
{txt}{col 15}std. dev:{res}{col 26} 15689.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6431{col 37}   14048{col 47}   26631{col 57}   41393{col 67}   49689

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 423.943
{txt}{col 15}std. dev:{res}{col 26} 236.515

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 286.633
{txt}{col 15}std. dev:{res}{col 26} 134.396

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. 
. *** Table A16 ***
. 
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. *** Model 1 ***
. 
. logit major_frev $ind lustration_pos truthcommission_pos purge_pos i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 77 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 123 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3899.9914}  
Iteration 1:{space 3}log likelihood = {res:-3453.7116}  
Iteration 2:{space 3}log likelihood = {res:-3209.9354}  
Iteration 3:{space 3}log likelihood = {res:-3089.4754}  
Iteration 4:{space 3}log likelihood = {res: -3080.008}  
Iteration 5:{space 3}log likelihood = {res:-3078.0945}  
Iteration 6:{space 3}log likelihood = {res:-3077.9263}  
Iteration 7:{space 3}log likelihood = {res:-3077.9259}  
Iteration 8:{space 3}log likelihood = {res:-3077.9259}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,943
{txt}{col 49}LR chi2({res}97{txt}){col 67}= {res}   1644.13
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3077.9259{txt}{col 49}Pseudo R2{col 67}= {res}    0.2108

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         major_frev{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prev_core {c |}{col 21}{res}{space 2}  1.48168{col 33}{space 2} .1630328{col 44}{space 1}    9.09{col 53}{space 3}0.000{col 61}{space 4} 1.162142{col 74}{space 3} 1.801219
{txt}{space 11}NUML_aut {c |}{col 21}{res}{space 2}-.1276369{col 33}{space 2} .0140967{col 44}{space 1}   -9.05{col 53}{space 3}0.000{col 61}{space 4}-.1552659{col 74}{space 3} -.100008
{txt}{space 4}prev_prestige_2 {c |}{col 21}{res}{space 2} .3010508{col 33}{space 2} .0938549{col 44}{space 1}    3.21{col 53}{space 3}0.001{col 61}{space 4} .1170986{col 74}{space 3} .4850029
{txt}{space 6}prev_military {c |}{col 21}{res}{space 2}-.1882739{col 33}{space 2} .1852755{col 44}{space 1}   -1.02{col 53}{space 3}0.310{col 61}{space 4}-.5514071{col 74}{space 3} .1748594
{txt}{space 5}lustration_pos {c |}{col 21}{res}{space 2}-.9487453{col 33}{space 2} .2040149{col 44}{space 1}   -4.65{col 53}{space 3}0.000{col 61}{space 4}-1.348607{col 74}{space 3}-.5488836
{txt}truthcommission_pos {c |}{col 21}{res}{space 2}-1.228786{col 33}{space 2} .0868208{col 44}{space 1}  -14.15{col 53}{space 3}0.000{col 61}{space 4}-1.398952{col 74}{space 3}-1.058621
{txt}{space 10}purge_pos {c |}{col 21}{res}{space 2}-.3249776{col 33}{space 2} .3176766{col 44}{space 1}   -1.02{col 53}{space 3}0.306{col 61}{space 4}-.9476123{col 74}{space 3} .2976571
{txt}{space 19} {c |}
{space 9}gwf_caseid {c |}
{space 16}11  {c |}{col 21}{res}{space 2} 8.833017{col 33}{space 2} 1.664107{col 44}{space 1}    5.31{col 53}{space 3}0.000{col 61}{space 4} 5.571428{col 74}{space 3} 12.09461
{txt}{space 16}21  {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (empty)
{space 16}23  {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (empty)
{space 16}27  {c |}{col 21}{res}{space 2} .5610103{col 33}{space 2} .4696888{col 44}{space 1}    1.19{col 53}{space 3}0.232{col 61}{space 4}-.3595628{col 74}{space 3} 1.481583
{txt}{space 16}31  {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (empty)
{space 16}36  {c |}{col 21}{res}{space 2} .8353524{col 33}{space 2} .4476916{col 44}{space 1}    1.87{col 53}{space 3}0.062{col 61}{space 4}-.0421069{col 74}{space 3} 1.712812
{txt}{space 16}38  {c |}{col 21}{res}{space 2} .9709778{col 33}{space 2} .7369737{col 44}{space 1}    1.32{col 53}{space 3}0.188{col 61}{space 4} -.473464{col 74}{space 3}  2.41542
{txt}{space 16}51  {c |}{col 21}{res}{space 2} 1.695266{col 33}{space 2} .4269945{col 44}{space 1}    3.97{col 53}{space 3}0.000{col 61}{space 4} .8583724{col 74}{space 3}  2.53216
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{space 14}_cons {c |}{col 21}{res}{space 2}-4.689186{col 33}{space 2} .3595593{col 44}{space 1}  -13.04{col 53}{space 3}0.000{col 61}{space 4}-5.393909{col 74}{space 3}-3.984463
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,949{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 27424.1
{txt}{col 15}std. dev:{res}{col 26} 16185.3

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4999{col 37}   13268{col 47}   27224{col 57}   41541{col 67}   49824

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 483.969
{txt}{col 15}std. dev:{res}{col 26} 220.025

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     365{col 47}     452{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}15,943

{txt}{col 19}mean:{res}{col 26} 281.177
{txt}{col 15}std. dev:{res}{col 26} 138.643

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. *** Model 2 ***
. 
. logit major_frev $ind lustration_pos truthcommission_pos purge_pos female dem_const coldwar $pre $macro i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 76 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 11 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3897.6473}  
Iteration 1:{space 3}log likelihood = {res:-2766.9757}  
Iteration 2:{space 3}log likelihood = {res: -2595.694}  
Iteration 3:{space 3}log likelihood = {res:-2528.2549}  
Iteration 4:{space 3}log likelihood = {res:-2314.4558}  
Iteration 5:{space 3}log likelihood = {res:-2209.5846}  
Iteration 6:{space 3}log likelihood = {res:-2193.7867}  
Iteration 7:{space 3}log likelihood = {res:-2190.9642}  
Iteration 8:{space 3}log likelihood = {res:-2173.1878}  
Iteration 9:{space 3}log likelihood = {res:-2113.2672}  
Iteration 10:{space 2}log likelihood = {res:-2097.8429}  
Iteration 11:{space 2}log likelihood = {res:-2097.2985}  
Iteration 12:{space 2}log likelihood = {res:-2097.2965}  
Iteration 13:{space 2}log likelihood = {res:-2097.2965}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    15,909
{txt}{col 49}LR chi2({res}103{txt}){col 67}= {res}   3600.70
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2097.2965{txt}{col 49}Pseudo R2{col 67}= {res}    0.4619

{txt}{hline 20}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}         major_frev{col 21}{c |}      Coef.{col 33}   Std. Err.{col 45}      z{col 53}   P>|z|{col 61}     [95% Con{col 74}f. Interval]
{hline 20}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}prev_core {c |}{col 21}{res}{space 2} 2.287603{col 33}{space 2} .2302321{col 44}{space 1}    9.94{col 53}{space 3}0.000{col 61}{space 4} 1.836356{col 74}{space 3} 2.738849
{txt}{space 11}NUML_aut {c |}{col 21}{res}{space 2}-.1082505{col 33}{space 2} .0167896{col 44}{space 1}   -6.45{col 53}{space 3}0.000{col 61}{space 4}-.1411575{col 74}{space 3}-.0753434
{txt}{space 4}prev_prestige_2 {c |}{col 21}{res}{space 2} .2923509{col 33}{space 2} .1164345{col 44}{space 1}    2.51{col 53}{space 3}0.012{col 61}{space 4} .0641434{col 74}{space 3} .5205583
{txt}{space 6}prev_military {c |}{col 21}{res}{space 2}-.2191452{col 33}{space 2} .2387084{col 44}{space 1}   -0.92{col 53}{space 3}0.359{col 61}{space 4}-.6870051{col 74}{space 3} .2487148
{txt}{space 5}lustration_pos {c |}{col 21}{res}{space 2}-.4445216{col 33}{space 2} .1112974{col 44}{space 1}   -3.99{col 53}{space 3}0.000{col 61}{space 4}-.6626606{col 74}{space 3}-.2263826
{txt}truthcommission_pos {c |}{col 21}{res}{space 2} .7624689{col 33}{space 2} .1150769{col 44}{space 1}    6.63{col 53}{space 3}0.000{col 61}{space 4} .5369224{col 74}{space 3} .9880154
{txt}{space 10}purge_pos {c |}{col 21}{res}{space 2}-1.077309{col 33}{space 2} .3272247{col 44}{space 1}   -3.29{col 53}{space 3}0.001{col 61}{space 4}-1.718658{col 74}{space 3}-.4359607
{txt}{space 13}female {c |}{col 21}{res}{space 2} .4832265{col 33}{space 2} .1664035{col 44}{space 1}    2.90{col 53}{space 3}0.004{col 61}{space 4} .1570816{col 74}{space 3} .8093714
{txt}{space 10}dem_const {c |}{col 21}{res}{space 2}-1.514674{col 33}{space 2} .5035151{col 44}{space 1}   -3.01{col 53}{space 3}0.003{col 61}{space 4}-2.501545{col 74}{space 3}-.5278022
{txt}{space 12}coldwar {c |}{col 21}{res}{space 2}-3.095009{col 33}{space 2} .6168138{col 44}{space 1}   -5.02{col 53}{space 3}0.000{col 61}{space 4}-4.303942{col 74}{space 3}-1.886076
{txt}{space 2}prev_gwf_military {c |}{col 21}{res}{space 2}-82.27538{col 33}{space 2} 5.526463{col 44}{space 1}  -14.89{col 53}{space 3}0.000{col 61}{space 4}-93.10705{col 74}{space 3}-71.44371
{txt}{space 5}prev_gwf_party {c |}{col 21}{res}{space 2}-17.20479{col 33}{space 2} 1.595615{col 44}{space 1}  -10.78{col 53}{space 3}0.000{col 61}{space 4}-20.33214{col 74}{space 3}-14.07745
{txt}{space 2}prev_gwf_personal {c |}{col 21}{res}{space 2} 12.51246{col 33}{space 2} 1.047562{col 44}{space 1}   11.94{col 53}{space 3}0.000{col 61}{space 4} 10.45928{col 74}{space 3} 14.56564
{txt}{space 9}lrgdpopct1 {c |}{col 21}{res}{space 2}-10.18609{col 33}{space 2}  1.00766{col 44}{space 1}  -10.11{col 53}{space 3}0.000{col 61}{space 4}-12.16106{col 74}{space 3} -8.21111
{txt}{space 4}rgdpopc_1yrcht1 {c |}{col 21}{res}{space 2} 3.661348{col 33}{space 2} 4.308915{col 44}{space 1}    0.85{col 53}{space 3}0.395{col 61}{space 4} -4.78397{col 74}{space 3} 12.10667
{txt}{space 11}litpopt1 {c |}{col 21}{res}{space 2}-43.91327{col 33}{space 2} 2.173506{col 44}{space 1}  -20.20{col 53}{space 3}0.000{col 61}{space 4}-48.17326{col 74}{space 3}-39.65327
{txt}{space 19} {c |}
{space 9}gwf_caseid {c |}
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{txt}{space 16}31  {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (empty)
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{txt}{space 15}419  {c |}{col 21}{res}{space 2}-88.13234{col 33}{space 2} 4.173975{col 44}{space 1}  -21.11{col 53}{space 3}0.000{col 61}{space 4}-96.31318{col 74}{space 3}-79.95149
{txt}{space 15}428  {c |}{col 21}{res}{space 2} 59.73257{col 33}{space 2} 2.447724{col 44}{space 1}   24.40{col 53}{space 3}0.000{col 61}{space 4} 54.93512{col 74}{space 3} 64.53002
{txt}{space 15}436  {c |}{col 21}{res}{space 2} 30.41371{col 33}{space 2} 2.286353{col 44}{space 1}   13.30{col 53}{space 3}0.000{col 61}{space 4} 25.93254{col 74}{space 3} 34.89488
{txt}{space 15}439  {c |}{col 21}{res}{space 2} 4.775674{col 33}{space 2} 1.171381{col 44}{space 1}    4.08{col 53}{space 3}0.000{col 61}{space 4}  2.47981{col 74}{space 3} 7.071538
{txt}{space 15}441  {c |}{col 21}{res}{space 2} 26.33234{col 33}{space 2} 1.321237{col 44}{space 1}   19.93{col 53}{space 3}0.000{col 61}{space 4} 23.74276{col 74}{space 3} 28.92192
{txt}{space 15}448  {c |}{col 21}{res}{space 2} 79.71375{col 33}{space 2} 5.533636{col 44}{space 1}   14.41{col 53}{space 3}0.000{col 61}{space 4} 68.86802{col 74}{space 3} 90.55948
{txt}{space 15}464  {c |}{col 21}{res}{space 2} 41.31727{col 33}{space 2}  2.46227{col 44}{space 1}   16.78{col 53}{space 3}0.000{col 61}{space 4} 36.49131{col 74}{space 3} 46.14323
{txt}{space 15}472  {c |}{col 21}{res}{space 2} 111.5665{col 33}{space 2} 6.667012{col 44}{space 1}   16.73{col 53}{space 3}0.000{col 61}{space 4} 98.49939{col 74}{space 3} 124.6336
{txt}{space 15}474  {c |}{col 21}{res}{space 2} 129.0877{col 33}{space 2} 7.043577{col 44}{space 1}   18.33{col 53}{space 3}0.000{col 61}{space 4} 115.2826{col 74}{space 3} 142.8929
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{txt}{space 15}490  {c |}{col 21}{res}{space 2}  132.087{col 33}{space 2} 6.754536{col 44}{space 1}   19.56{col 53}{space 3}0.000{col 61}{space 4} 118.8484{col 74}{space 3} 145.3257
{txt}{space 15}505  {c |}{col 21}{res}{space 2} 58.95602{col 33}{space 2} 2.447884{col 44}{space 1}   24.08{col 53}{space 3}0.000{col 61}{space 4} 54.15825{col 74}{space 3} 63.75378
{txt}{space 15}508  {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 15}525  {c |}{col 21}{res}{space 2}-37.09944{col 33}{space 2} 1.737939{col 44}{space 1}  -21.35{col 53}{space 3}0.000{col 61}{space 4}-40.50574{col 74}{space 3}-33.69314
{txt}{space 15}527  {c |}{col 21}{res}{space 2}        0{col 33}{txt}  (omitted)
{space 19} {c |}
{space 14}_cons {c |}{col 21}{res}{space 2} 518.8652{col 33}{space 2} 21.59675{col 44}{space 1}   24.03{col 53}{space 3}0.000{col 61}{space 4} 476.5363{col 74}{space 3}  561.194
{txt}{hline 20}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}12,923{col 51}{txt}missing .:  {res}0{txt}/{res}15,909

{txt}{col 19}mean:{res}{col 26} 27423.5
{txt}{col 15}std. dev:{res}{col 26} 16189.9

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    4997{col 37}   13280{col 47}   27217{col 57}   41541{col 67}   49828

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}68{col 51}{txt}missing .:  {res}0{txt}/{res}15,909

{txt}{col 19}mean:{res}{col 26} 483.845
{txt}{col 15}std. dev:{res}{col 26} 220.155

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     130{col 37}     365{col 47}     452{col 57}     651{col 67}     780

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}91{col 51}{txt}missing .:  {res}0{txt}/{res}15,909

{txt}{col 19}mean:{res}{col 26} 280.922
{txt}{col 15}std. dev:{res}{col 26} 138.597

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      71{col 37}     184{col 47}     302{col 57}     401{col 67}     464
{txt}
{com}. 
. *** TSCS Models ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. *** Model 3 ***
. 
. logit major_frev $ind l_lustration_pos l_truthcommission_pos l_purge_pos i.gwf_caseid

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4182 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3276 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3397 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4275.4931}  
Iteration 1:{space 3}log likelihood = {res:-4082.1098}  
Iteration 2:{space 3}log likelihood = {res:-3917.3364}  
Iteration 3:{space 3}log likelihood = {res:-3808.7013}  
Iteration 4:{space 3}log likelihood = {res:-3807.1016}  
Iteration 5:{space 3}log likelihood = {res:-3807.0786}  
Iteration 6:{space 3}log likelihood = {res:-3807.0786}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   145,934
{txt}{col 49}LR chi2({res}64{txt}){col 67}= {res}    936.83
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3807.0786{txt}{col 49}Pseudo R2{col 67}= {res}    0.1096

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           major_frev{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}prev_core {c |}{col 23}{res}{space 2} 1.347685{col 35}{space 2} .1943474{col 46}{space 1}    6.93{col 55}{space 3}0.000{col 63}{space 4}  .966771{col 76}{space 3} 1.728599
{txt}{space 13}NUML_aut {c |}{col 23}{res}{space 2} -.187506{col 35}{space 2} .0183023{col 46}{space 1}  -10.24{col 55}{space 3}0.000{col 63}{space 4}-.2233779{col 76}{space 3}-.1516341
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{txt}{space 8}prev_military {c |}{col 23}{res}{space 2} .0167761{col 35}{space 2}  .196887{col 46}{space 1}    0.09{col 55}{space 3}0.932{col 63}{space 4}-.3691152{col 76}{space 3} .4026675
{txt}{space 5}l_lustration_pos {c |}{col 23}{res}{space 2}  .173516{col 35}{space 2} .1292709{col 46}{space 1}    1.34{col 55}{space 3}0.180{col 63}{space 4}-.0798503{col 76}{space 3} .4268824
{txt}l_truthcommission_pos {c |}{col 23}{res}{space 2} .3126552{col 35}{space 2} .0799776{col 46}{space 1}    3.91{col 55}{space 3}0.000{col 63}{space 4}  .155902{col 76}{space 3} .4694083
{txt}{space 10}l_purge_pos {c |}{col 23}{res}{space 2} .0840225{col 35}{space 2} .1187499{col 46}{space 1}    0.71{col 55}{space 3}0.479{col 63}{space 4}-.1487231{col 76}{space 3}  .316768
{txt}{space 21} {c |}
{space 11}gwf_caseid {c |}
{space 18}23  {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (empty)
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{txt}{space 17}188  {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (empty)
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{txt}{space 17}505  {c |}{col 23}{res}{space 2} 2.432645{col 35}{space 2} .5515138{col 46}{space 1}    4.41{col 55}{space 3}0.000{col 63}{space 4} 1.351697{col 76}{space 3} 3.513592
{txt}{space 17}508  {c |}{col 23}{res}{space 2}-1.875755{col 35}{space 2}  1.08487{col 46}{space 1}   -1.73{col 55}{space 3}0.084{col 63}{space 4}-4.002061{col 76}{space 3} .2505516
{txt}{space 17}527  {c |}{col 23}{res}{space 2} .4237157{col 35}{space 2} .5618828{col 46}{space 1}    0.75{col 55}{space 3}0.451{col 63}{space 4}-.6775543{col 76}{space 3} 1.524986
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2}-6.547475{col 35}{space 2} .4531002{col 46}{space 1}  -14.45{col 55}{space 3}0.000{col 63}{space 4}-7.435535{col 76}{space 3}-5.659415
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}9,594{col 51}{txt}missing .:  {res}0{txt}/{res}145,934

{txt}{col 19}mean:{res}{col 26} 27508.7
{txt}{col 15}std. dev:{res}{col 26} 15549.7

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6823{col 37}   14287{col 47} 26527.5{col 57}   41342{col 67}   49748

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}56{col 51}{txt}missing .:  {res}0{txt}/{res}145,934

{txt}{col 19}mean:{res}{col 26} 396.599
{txt}{col 15}std. dev:{res}{col 26} 235.161

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     145{col 47}     365{col 57}     560{col 67}     732

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}11{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}58{col 51}{txt}missing .:  {res}0{txt}/{res}145,934

{txt}{col 19}mean:{res}{col 26}  291.83
{txt}{col 15}std. dev:{res}{col 26} 131.995

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     320{col 57}     401{col 67}     436
{txt}
{com}. 
. *** Model 4 ***
. 
. logit major_frev $ind l_lustration_pos l_truthcommission_pos l_purge_pos $time i.gwf_caseid

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4182 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3276 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3397 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4086.7024}  
Iteration 1:{space 3}log likelihood = {res:-3954.8755}  
Iteration 2:{space 3}log likelihood = {res:-3151.3924}  
Iteration 3:{space 3}log likelihood = {res:-3098.8075}  
Iteration 4:{space 3}log likelihood = {res: -2867.737}  
Iteration 5:{space 3}log likelihood = {res:-2839.6034}  
Iteration 6:{space 3}log likelihood = {res:-2837.4128}  
Iteration 7:{space 3}log likelihood = {res:-2837.4089}  
Iteration 8:{space 3}log likelihood = {res:-2837.4089}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   142,354
{txt}{col 49}LR chi2({res}64{txt}){col 67}= {res}   2498.59
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2837.4089{txt}{col 49}Pseudo R2{col 67}= {res}    0.3057

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           major_frev{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}prev_core {c |}{col 23}{res}{space 2} 1.424412{col 35}{space 2} .2117827{col 46}{space 1}    6.73{col 55}{space 3}0.000{col 63}{space 4} 1.009326{col 76}{space 3} 1.839499
{txt}{space 13}NUML_aut {c |}{col 23}{res}{space 2}-.1463591{col 35}{space 2} .0182083{col 46}{space 1}   -8.04{col 55}{space 3}0.000{col 63}{space 4}-.1820467{col 76}{space 3}-.1106714
{txt}{space 6}prev_prestige_2 {c |}{col 23}{res}{space 2} .1753314{col 35}{space 2} .1122421{col 46}{space 1}    1.56{col 55}{space 3}0.118{col 63}{space 4}-.0446591{col 76}{space 3} .3953219
{txt}{space 8}prev_military {c |}{col 23}{res}{space 2} .1165373{col 35}{space 2}  .203672{col 46}{space 1}    0.57{col 55}{space 3}0.567{col 63}{space 4}-.2826526{col 76}{space 3} .5157271
{txt}{space 5}l_lustration_pos {c |}{col 23}{res}{space 2} .2257433{col 35}{space 2} .1525462{col 46}{space 1}    1.48{col 55}{space 3}0.139{col 63}{space 4}-.0732419{col 76}{space 3} .5247284
{txt}l_truthcommission_pos {c |}{col 23}{res}{space 2} .0908223{col 35}{space 2} .0863561{col 46}{space 1}    1.05{col 55}{space 3}0.293{col 63}{space 4}-.0784325{col 76}{space 3} .2600771
{txt}{space 10}l_purge_pos {c |}{col 23}{res}{space 2}-.2968662{col 35}{space 2} .1408822{col 46}{space 1}   -2.11{col 55}{space 3}0.035{col 63}{space 4}-.5729902{col 76}{space 3}-.0207421
{txt}{space 17}yr_t {c |}{col 23}{res}{space 2}-.0791052{col 35}{space 2} .0184437{col 46}{space 1}   -4.29{col 55}{space 3}0.000{col 63}{space 4}-.1152542{col 76}{space 3}-.0429562
{txt}{space 8}yr_since_exit {c |}{col 23}{res}{space 2}-.2036523{col 35}{space 2} .0114391{col 46}{space 1}  -17.80{col 55}{space 3}0.000{col 63}{space 4}-.2260724{col 76}{space 3}-.1812321
{txt}{space 21} {c |}
{space 11}gwf_caseid {c |}
{space 18}23  {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (empty)
{space 18}38  {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (empty)
{space 18}51  {c |}{col 23}{res}{space 2} 1.617938{col 35}{space 2} .5016242{col 46}{space 1}    3.23{col 55}{space 3}0.001{col 63}{space 4} .6347724{col 76}{space 3} 2.601103
{txt}{space 18}62  {c |}{col 23}{res}{space 2}-.0762593{col 35}{space 2} .5163865{col 46}{space 1}   -0.15{col 55}{space 3}0.883{col 63}{space 4}-1.088358{col 76}{space 3} .9358396
{txt}{space 18}69  {c |}{col 23}{res}{space 2} 1.107447{col 35}{space 2}  .481407{col 46}{space 1}    2.30{col 55}{space 3}0.021{col 63}{space 4} .1639062{col 76}{space 3} 2.050987
{txt}{space 18}71  {c |}{col 23}{res}{space 2} .2908654{col 35}{space 2}  .567539{col 46}{space 1}    0.51{col 55}{space 3}0.608{col 63}{space 4}-.8214906{col 76}{space 3} 1.403221
{txt}{space 18}85  {c |}{col 23}{res}{space 2}-.3078011{col 35}{space 2} .7184653{col 46}{space 1}   -0.43{col 55}{space 3}0.668{col 63}{space 4}-1.715967{col 76}{space 3} 1.100365
{txt}{space 17}109  {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (empty)
{space 17}141  {c |}{col 23}{res}{space 2} .4080059{col 35}{space 2} .5681937{col 46}{space 1}    0.72{col 55}{space 3}0.473{col 63}{space 4}-.7056334{col 76}{space 3} 1.521645
{txt}{space 17}150  {c |}{col 23}{res}{space 2}-.3125405{col 35}{space 2} .6586496{col 46}{space 1}   -0.47{col 55}{space 3}0.635{col 63}{space 4} -1.60347{col 76}{space 3}  .978389
{txt}{space 17}154  {c |}{col 23}{res}{space 2} .5728752{col 35}{space 2} .6711015{col 46}{space 1}    0.85{col 55}{space 3}0.393{col 63}{space 4}-.7424596{col 76}{space 3}  1.88821
{txt}{space 17}159  {c |}{col 23}{res}{space 2} .7010641{col 35}{space 2} .5241806{col 46}{space 1}    1.34{col 55}{space 3}0.181{col 63}{space 4} -.326311{col 76}{space 3} 1.728439
{txt}{space 17}174  {c |}{col 23}{res}{space 2}-.2566478{col 35}{space 2} .6543532{col 46}{space 1}   -0.39{col 55}{space 3}0.695{col 63}{space 4}-1.539156{col 76}{space 3} 1.025861
{txt}{space 17}184  {c |}{col 23}{res}{space 2} -.208791{col 35}{space 2} .5928501{col 46}{space 1}   -0.35{col 55}{space 3}0.725{col 63}{space 4}-1.370756{col 76}{space 3} .9531739
{txt}{space 17}188  {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (empty)
{space 17}196  {c |}{col 23}{res}{space 2}-.7654349{col 35}{space 2} .6585824{col 46}{space 1}   -1.16{col 55}{space 3}0.245{col 63}{space 4}-2.056233{col 76}{space 3} .5253628
{txt}{space 17}203  {c |}{col 23}{res}{space 2} 2.066454{col 35}{space 2} .4844423{col 46}{space 1}    4.27{col 55}{space 3}0.000{col 63}{space 4} 1.116965{col 76}{space 3} 3.015944
{txt}{space 17}205  {c |}{col 23}{res}{space 2} 1.564575{col 35}{space 2} .5817558{col 46}{space 1}    2.69{col 55}{space 3}0.007{col 63}{space 4} .4243545{col 76}{space 3} 2.704795
{txt}{space 17}222  {c |}{col 23}{res}{space 2}  1.13112{col 35}{space 2} .4993928{col 46}{space 1}    2.26{col 55}{space 3}0.024{col 63}{space 4} .1523285{col 76}{space 3} 2.109912
{txt}{space 17}229  {c |}{col 23}{res}{space 2} .5241293{col 35}{space 2} .5321391{col 46}{space 1}    0.98{col 55}{space 3}0.325{col 63}{space 4}-.5188443{col 76}{space 3} 1.567103
{txt}{space 17}232  {c |}{col 23}{res}{space 2} .8106056{col 35}{space 2} .5051825{col 46}{space 1}    1.60{col 55}{space 3}0.109{col 63}{space 4}-.1795339{col 76}{space 3} 1.800745
{txt}{space 17}238  {c |}{col 23}{res}{space 2}-.1072267{col 35}{space 2} .5699973{col 46}{space 1}   -0.19{col 55}{space 3}0.851{col 63}{space 4}-1.224401{col 76}{space 3} 1.009947
{txt}{space 17}260  {c |}{col 23}{res}{space 2} 1.184603{col 35}{space 2} .5081695{col 46}{space 1}    2.33{col 55}{space 3}0.020{col 63}{space 4} .1886091{col 76}{space 3} 2.180597
{txt}{space 17}265  {c |}{col 23}{res}{space 2}-.2851154{col 35}{space 2} .5409307{col 46}{space 1}   -0.53{col 55}{space 3}0.598{col 63}{space 4} -1.34532{col 76}{space 3} .7750894
{txt}{space 17}284  {c |}{col 23}{res}{space 2} .8653663{col 35}{space 2} .5103702{col 46}{space 1}    1.70{col 55}{space 3}0.090{col 63}{space 4}-.1349409{col 76}{space 3} 1.865674
{txt}{space 17}290  {c |}{col 23}{res}{space 2} .3169945{col 35}{space 2} .5990579{col 46}{space 1}    0.53{col 55}{space 3}0.597{col 63}{space 4}-.8571374{col 76}{space 3} 1.491126
{txt}{space 17}300  {c |}{col 23}{res}{space 2} .9320462{col 35}{space 2} .4922051{col 46}{space 1}    1.89{col 55}{space 3}0.058{col 63}{space 4}-.0326581{col 76}{space 3}  1.89675
{txt}{space 17}304  {c |}{col 23}{res}{space 2} 1.920159{col 35}{space 2} .4746684{col 46}{space 1}    4.05{col 55}{space 3}0.000{col 63}{space 4} .9898261{col 76}{space 3} 2.850492
{txt}{space 17}310  {c |}{col 23}{res}{space 2}  .590182{col 35}{space 2} .5374871{col 46}{space 1}    1.10{col 55}{space 3}0.272{col 63}{space 4}-.4632733{col 76}{space 3} 1.643637
{txt}{space 17}320  {c |}{col 23}{res}{space 2}-.3853949{col 35}{space 2} .6600153{col 46}{space 1}   -0.58{col 55}{space 3}0.559{col 63}{space 4}-1.679001{col 76}{space 3} .9082113
{txt}{space 17}323  {c |}{col 23}{res}{space 2} 1.308011{col 35}{space 2} .4826995{col 46}{space 1}    2.71{col 55}{space 3}0.007{col 63}{space 4} .3619375{col 76}{space 3} 2.254085
{txt}{space 17}336  {c |}{col 23}{res}{space 2} 1.119639{col 35}{space 2} .4869077{col 46}{space 1}    2.30{col 55}{space 3}0.021{col 63}{space 4} .1653178{col 76}{space 3} 2.073961
{txt}{space 17}341  {c |}{col 23}{res}{space 2} 1.134973{col 35}{space 2} .5160945{col 46}{space 1}    2.20{col 55}{space 3}0.028{col 63}{space 4} .1234461{col 76}{space 3} 2.146499
{txt}{space 17}351  {c |}{col 23}{res}{space 2} 1.625986{col 35}{space 2} .4711943{col 46}{space 1}    3.45{col 55}{space 3}0.001{col 63}{space 4} .7024623{col 76}{space 3}  2.54951
{txt}{space 17}357  {c |}{col 23}{res}{space 2} .0801159{col 35}{space 2} .5126753{col 46}{space 1}    0.16{col 55}{space 3}0.876{col 63}{space 4}-.9247092{col 76}{space 3} 1.084941
{txt}{space 17}367  {c |}{col 23}{res}{space 2} 1.327881{col 35}{space 2} .4647912{col 46}{space 1}    2.86{col 55}{space 3}0.004{col 63}{space 4} .4169072{col 76}{space 3} 2.238855
{txt}{space 17}376  {c |}{col 23}{res}{space 2} .3583562{col 35}{space 2} .5686875{col 46}{space 1}    0.63{col 55}{space 3}0.529{col 63}{space 4}-.7562509{col 76}{space 3} 1.472963
{txt}{space 17}380  {c |}{col 23}{res}{space 2} .2126541{col 35}{space 2} .6603942{col 46}{space 1}    0.32{col 55}{space 3}0.747{col 63}{space 4}-1.081695{col 76}{space 3} 1.507003
{txt}{space 17}390  {c |}{col 23}{res}{space 2} -1.06891{col 35}{space 2} .8343243{col 46}{space 1}   -1.28{col 55}{space 3}0.200{col 63}{space 4}-2.704155{col 76}{space 3} .5663359
{txt}{space 17}393  {c |}{col 23}{res}{space 2} .6033741{col 35}{space 2} .5190933{col 46}{space 1}    1.16{col 55}{space 3}0.245{col 63}{space 4}-.4140301{col 76}{space 3} 1.620778
{txt}{space 17}395  {c |}{col 23}{res}{space 2}-1.403797{col 35}{space 2} .7186959{col 46}{space 1}   -1.95{col 55}{space 3}0.051{col 63}{space 4}-2.812415{col 76}{space 3} .0048214
{txt}{space 17}398  {c |}{col 23}{res}{space 2} .7403823{col 35}{space 2}  .589247{col 46}{space 1}    1.26{col 55}{space 3}0.209{col 63}{space 4}-.4145206{col 76}{space 3} 1.895285
{txt}{space 17}401  {c |}{col 23}{res}{space 2}-1.373601{col 35}{space 2} .8235892{col 46}{space 1}   -1.67{col 55}{space 3}0.095{col 63}{space 4}-2.987806{col 76}{space 3} .2406044
{txt}{space 17}402  {c |}{col 23}{res}{space 2}-1.773096{col 35}{space 2} 1.085885{col 46}{space 1}   -1.63{col 55}{space 3}0.102{col 63}{space 4}-3.901391{col 76}{space 3} .3551995
{txt}{space 17}409  {c |}{col 23}{res}{space 2} 1.752842{col 35}{space 2} .4634846{col 46}{space 1}    3.78{col 55}{space 3}0.000{col 63}{space 4} .8444293{col 76}{space 3} 2.661255
{txt}{space 17}411  {c |}{col 23}{res}{space 2}-1.033179{col 35}{space 2} .6113814{col 46}{space 1}   -1.69{col 55}{space 3}0.091{col 63}{space 4}-2.231464{col 76}{space 3} .1651066
{txt}{space 17}419  {c |}{col 23}{res}{space 2} 1.445908{col 35}{space 2} .4691871{col 46}{space 1}    3.08{col 55}{space 3}0.002{col 63}{space 4} .5263185{col 76}{space 3} 2.365498
{txt}{space 17}428  {c |}{col 23}{res}{space 2} 1.594065{col 35}{space 2} .4717426{col 46}{space 1}    3.38{col 55}{space 3}0.001{col 63}{space 4} .6694669{col 76}{space 3} 2.518664
{txt}{space 17}436  {c |}{col 23}{res}{space 2}-.1123341{col 35}{space 2} .5905469{col 46}{space 1}   -0.19{col 55}{space 3}0.849{col 63}{space 4}-1.269785{col 76}{space 3} 1.045116
{txt}{space 17}439  {c |}{col 23}{res}{space 2} .4977711{col 35}{space 2} .5805891{col 46}{space 1}    0.86{col 55}{space 3}0.391{col 63}{space 4}-.6401626{col 76}{space 3} 1.635705
{txt}{space 17}441  {c |}{col 23}{res}{space 2} 2.128969{col 35}{space 2} .5582061{col 46}{space 1}    3.81{col 55}{space 3}0.000{col 63}{space 4} 1.034905{col 76}{space 3} 3.223033
{txt}{space 17}448  {c |}{col 23}{res}{space 2} .6892927{col 35}{space 2} .5022058{col 46}{space 1}    1.37{col 55}{space 3}0.170{col 63}{space 4}-.2950126{col 76}{space 3} 1.673598
{txt}{space 17}464  {c |}{col 23}{res}{space 2} .8315316{col 35}{space 2} .4884417{col 46}{space 1}    1.70{col 55}{space 3}0.089{col 63}{space 4}-.1257964{col 76}{space 3}  1.78886
{txt}{space 17}478  {c |}{col 23}{res}{space 2}-.6537827{col 35}{space 2} .8316392{col 46}{space 1}   -0.79{col 55}{space 3}0.432{col 63}{space 4}-2.283766{col 76}{space 3} .9762001
{txt}{space 17}483  {c |}{col 23}{res}{space 2}-.0458292{col 35}{space 2} .5876383{col 46}{space 1}   -0.08{col 55}{space 3}0.938{col 63}{space 4}-1.197579{col 76}{space 3} 1.105921
{txt}{space 17}490  {c |}{col 23}{res}{space 2}-.7210236{col 35}{space 2} .7187915{col 46}{space 1}   -1.00{col 55}{space 3}0.316{col 63}{space 4}-2.129829{col 76}{space 3} .6877817
{txt}{space 17}505  {c |}{col 23}{res}{space 2} .5274985{col 35}{space 2} .5562798{col 46}{space 1}    0.95{col 55}{space 3}0.343{col 63}{space 4}-.5627899{col 76}{space 3} 1.617787
{txt}{space 17}508  {c |}{col 23}{res}{space 2}-1.693033{col 35}{space 2} 1.095298{col 46}{space 1}   -1.55{col 55}{space 3}0.122{col 63}{space 4}-3.839777{col 76}{space 3}  .453711
{txt}{space 17}527  {c |}{col 23}{res}{space 2} .5148886{col 35}{space 2} .5695561{col 46}{space 1}    0.90{col 55}{space 3}0.366{col 63}{space 4}-.6014209{col 76}{space 3} 1.631198
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2} -3.99781{col 35}{space 2} .4735544{col 46}{space 1}   -8.44{col 55}{space 3}0.000{col 63}{space 4}-4.925959{col 76}{space 3} -3.06966
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 failure and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}9,162{col 51}{txt}missing .:  {res}0{txt}/{res}142,354

{txt}{col 19}mean:{res}{col 26} 27512.1
{txt}{col 15}std. dev:{res}{col 26} 15513.5

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6854{col 37}   14303{col 47}   26497{col 57}   41344{col 67}   49757

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}54{col 51}{txt}missing .:  {res}0{txt}/{res}142,354

{txt}{col 19}mean:{res}{col 26} 389.191
{txt}{col 15}std. dev:{res}{col 26} 232.958

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     145{col 47}     360{col 57}     553{col 67}     732

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}11{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}56{col 51}{txt}missing .:  {res}0{txt}/{res}142,354

{txt}{col 19}mean:{res}{col 26} 294.188
{txt}{col 15}std. dev:{res}{col 26} 131.335

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     320{col 57}     401{col 67}     436
{txt}
{com}. 
. *** Model 5 ***
. 
. logit major_frev $ind l_lustration_pos l_truthcommission_pos l_purge_pos female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4148 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3276 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3397 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 436.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4085.4389}  
Iteration 1:{space 3}log likelihood = {res:-3917.6171}  
Iteration 2:{space 3}log likelihood = {res:-3130.2452}  
Iteration 3:{space 3}log likelihood = {res:-3060.4859}  
Iteration 4:{space 3}log likelihood = {res:-2846.9083}  
Iteration 5:{space 3}log likelihood = {res:-2822.5493}  
Iteration 6:{space 3}log likelihood = {res:-2821.1611}  
Iteration 7:{space 3}log likelihood = {res:-2821.1557}  
Iteration 8:{space 3}log likelihood = {res:-2821.1557}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   142,073
{txt}{col 49}LR chi2({res}70{txt}){col 67}= {res}   2528.57
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2821.1557{txt}{col 49}Pseudo R2{col 67}= {res}    0.3095

{txt}{hline 22}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}           major_frev{col 23}{c |}      Coef.{col 35}   Std. Err.{col 47}      z{col 55}   P>|z|{col 63}     [95% Con{col 76}f. Interval]
{hline 22}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}prev_core {c |}{col 23}{res}{space 2} 1.416805{col 35}{space 2} .2122145{col 46}{space 1}    6.68{col 55}{space 3}0.000{col 63}{space 4} 1.000873{col 76}{space 3} 1.832738
{txt}{space 13}NUML_aut {c |}{col 23}{res}{space 2}-.1455112{col 35}{space 2} .0181952{col 46}{space 1}   -8.00{col 55}{space 3}0.000{col 63}{space 4}-.1811732{col 76}{space 3}-.1098492
{txt}{space 6}prev_prestige_2 {c |}{col 23}{res}{space 2}  .183744{col 35}{space 2} .1128097{col 46}{space 1}    1.63{col 55}{space 3}0.103{col 63}{space 4}-.0373589{col 76}{space 3} .4048469
{txt}{space 8}prev_military {c |}{col 23}{res}{space 2} .1148739{col 35}{space 2} .2042942{col 46}{space 1}    0.56{col 55}{space 3}0.574{col 63}{space 4}-.2855353{col 76}{space 3} .5152832
{txt}{space 5}l_lustration_pos {c |}{col 23}{res}{space 2} .2894055{col 35}{space 2} .1643202{col 46}{space 1}    1.76{col 55}{space 3}0.078{col 63}{space 4}-.0326561{col 76}{space 3} .6114671
{txt}l_truthcommission_pos {c |}{col 23}{res}{space 2} .1536462{col 35}{space 2}  .086051{col 46}{space 1}    1.79{col 55}{space 3}0.074{col 63}{space 4}-.0150107{col 76}{space 3} .3223031
{txt}{space 10}l_purge_pos {c |}{col 23}{res}{space 2}-.3049372{col 35}{space 2} .1433512{col 46}{space 1}   -2.13{col 55}{space 3}0.033{col 63}{space 4}-.5859003{col 76}{space 3}-.0239741
{txt}{space 15}female {c |}{col 23}{res}{space 2} .1823074{col 35}{space 2} .1612552{col 46}{space 1}    1.13{col 55}{space 3}0.258{col 63}{space 4}-.1337471{col 76}{space 3} .4983618
{txt}{space 10}1.dem_const {c |}{col 23}{res}{space 2}-.7827942{col 35}{space 2} .2510387{col 46}{space 1}   -3.12{col 55}{space 3}0.002{col 63}{space 4}-1.274821{col 76}{space 3}-.2907675
{txt}{space 12}1.coldwar {c |}{col 23}{res}{space 2}-.0474548{col 35}{space 2}  .244802{col 46}{space 1}   -0.19{col 55}{space 3}0.846{col 63}{space 4}-.5272579{col 76}{space 3} .4323484
{txt}{space 4}prev_gwf_military {c |}{col 23}{res}{space 2}-1.772726{col 35}{space 2} 2.805633{col 46}{space 1}   -0.63{col 55}{space 3}0.527{col 63}{space 4}-7.271666{col 76}{space 3} 3.726214
{txt}{space 7}prev_gwf_party {c |}{col 23}{res}{space 2} 1.202146{col 35}{space 2} 2.568557{col 46}{space 1}    0.47{col 55}{space 3}0.640{col 63}{space 4}-3.832134{col 76}{space 3} 6.236425
{txt}{space 4}prev_gwf_personal {c |}{col 23}{res}{space 2}-4.490176{col 35}{space 2} 1.284768{col 46}{space 1}   -3.49{col 55}{space 3}0.000{col 63}{space 4}-7.008275{col 76}{space 3}-1.972077
{txt}{space 11}lrgdpopct1 {c |}{col 23}{res}{space 2} 1.707999{col 35}{space 2} .5004983{col 46}{space 1}    3.41{col 55}{space 3}0.001{col 63}{space 4} .7270403{col 76}{space 3} 2.688958
{txt}{space 6}rgdpopc_1yrcht1 {c |}{col 23}{res}{space 2}-2.850924{col 35}{space 2} .7489183{col 46}{space 1}   -3.81{col 55}{space 3}0.000{col 63}{space 4}-4.318776{col 76}{space 3}-1.383071
{txt}{space 13}litpopt1 {c |}{col 23}{res}{space 2} 1.819329{col 35}{space 2} 1.234232{col 46}{space 1}    1.47{col 55}{space 3}0.140{col 63}{space 4}-.5997221{col 76}{space 3}  4.23838
{txt}{space 17}yr_t {c |}{col 23}{res}{space 2}-.1416586{col 35}{space 2} .0362637{col 46}{space 1}   -3.91{col 55}{space 3}0.000{col 63}{space 4}-.2127342{col 76}{space 3} -.070583
{txt}{space 8}yr_since_exit {c |}{col 23}{res}{space 2}-.2021635{col 35}{space 2} .0114162{col 46}{space 1}  -17.71{col 55}{space 3}0.000{col 63}{space 4}-.2245388{col 76}{space 3}-.1797882
{txt}{space 21} {c |}
{space 11}gwf_caseid {c |}
{space 18}23  {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (empty)
{space 18}38  {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (empty)
{space 18}51  {c |}{col 23}{res}{space 2} 8.234141{col 35}{space 2} 2.905252{col 46}{space 1}    2.83{col 55}{space 3}0.005{col 63}{space 4} 2.539952{col 76}{space 3} 13.92833
{txt}{space 18}62  {c |}{col 23}{res}{space 2} 2.673059{col 35}{space 2} 1.414062{col 46}{space 1}    1.89{col 55}{space 3}0.059{col 63}{space 4}-.0984528{col 76}{space 3}  5.44457
{txt}{space 18}69  {c |}{col 23}{res}{space 2}-3.007011{col 35}{space 2} 4.814577{col 46}{space 1}   -0.62{col 55}{space 3}0.532{col 63}{space 4}-12.44341{col 76}{space 3} 6.429385
{txt}{space 18}71  {c |}{col 23}{res}{space 2} -2.52346{col 35}{space 2} 1.569986{col 46}{space 1}   -1.61{col 55}{space 3}0.108{col 63}{space 4}-5.600575{col 76}{space 3} .5536555
{txt}{space 18}85  {c |}{col 23}{res}{space 2} 3.388106{col 35}{space 2} 1.806706{col 46}{space 1}    1.88{col 55}{space 3}0.061{col 63}{space 4}-.1529729{col 76}{space 3} 6.929186
{txt}{space 17}109  {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (empty)
{space 17}141  {c |}{col 23}{res}{space 2} 4.891848{col 35}{space 2} 2.536932{col 46}{space 1}    1.93{col 55}{space 3}0.054{col 63}{space 4}-.0804474{col 76}{space 3} 9.864143
{txt}{space 17}150  {c |}{col 23}{res}{space 2} .5248467{col 35}{space 2}  1.64988{col 46}{space 1}    0.32{col 55}{space 3}0.750{col 63}{space 4}-2.708858{col 76}{space 3} 3.758551
{txt}{space 17}154  {c |}{col 23}{res}{space 2}-4.450356{col 35}{space 2} 4.420894{col 46}{space 1}   -1.01{col 55}{space 3}0.314{col 63}{space 4}-13.11515{col 76}{space 3} 4.214436
{txt}{space 17}159  {c |}{col 23}{res}{space 2}   2.4803{col 35}{space 2} 1.327938{col 46}{space 1}    1.87{col 55}{space 3}0.062{col 63}{space 4}-.1224095{col 76}{space 3}  5.08301
{txt}{space 17}174  {c |}{col 23}{res}{space 2} 4.389601{col 35}{space 2} 2.907318{col 46}{space 1}    1.51{col 55}{space 3}0.131{col 63}{space 4}-1.308637{col 76}{space 3} 10.08784
{txt}{space 17}184  {c |}{col 23}{res}{space 2} 2.919433{col 35}{space 2} 1.390505{col 46}{space 1}    2.10{col 55}{space 3}0.036{col 63}{space 4} .1940935{col 76}{space 3} 5.644772
{txt}{space 17}188  {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (empty)
{space 17}196  {c |}{col 23}{res}{space 2}-.3092741{col 35}{space 2} 1.942307{col 46}{space 1}   -0.16{col 55}{space 3}0.873{col 63}{space 4}-4.116126{col 76}{space 3} 3.497578
{txt}{space 17}203  {c |}{col 23}{res}{space 2} 11.12713{col 35}{space 2} 4.508537{col 46}{space 1}    2.47{col 55}{space 3}0.014{col 63}{space 4} 2.290561{col 76}{space 3}  19.9637
{txt}{space 17}205  {c |}{col 23}{res}{space 2}  7.40823{col 35}{space 2}  1.66123{col 46}{space 1}    4.46{col 55}{space 3}0.000{col 63}{space 4} 4.152279{col 76}{space 3} 10.66418
{txt}{space 17}222  {c |}{col 23}{res}{space 2} 6.230048{col 35}{space 2} 2.241278{col 46}{space 1}    2.78{col 55}{space 3}0.005{col 63}{space 4} 1.837225{col 76}{space 3} 10.62287
{txt}{space 17}229  {c |}{col 23}{res}{space 2} 4.218845{col 35}{space 2} 1.222285{col 46}{space 1}    3.45{col 55}{space 3}0.001{col 63}{space 4} 1.823211{col 76}{space 3} 6.614479
{txt}{space 17}232  {c |}{col 23}{res}{space 2}-3.411809{col 35}{space 2} 1.767859{col 46}{space 1}   -1.93{col 55}{space 3}0.054{col 63}{space 4}-6.876749{col 76}{space 3} .0531309
{txt}{space 17}238  {c |}{col 23}{res}{space 2}-7.850139{col 35}{space 2}  5.21771{col 46}{space 1}   -1.50{col 55}{space 3}0.132{col 63}{space 4}-18.07666{col 76}{space 3} 2.376384
{txt}{space 17}260  {c |}{col 23}{res}{space 2}-2.171456{col 35}{space 2} 2.959629{col 46}{space 1}   -0.73{col 55}{space 3}0.463{col 63}{space 4}-7.972221{col 76}{space 3}  3.62931
{txt}{space 17}265  {c |}{col 23}{res}{space 2}-3.794451{col 35}{space 2} 3.482873{col 46}{space 1}   -1.09{col 55}{space 3}0.276{col 63}{space 4}-10.62076{col 76}{space 3} 3.031855
{txt}{space 17}284  {c |}{col 23}{res}{space 2} 6.062239{col 35}{space 2} 1.493812{col 46}{space 1}    4.06{col 55}{space 3}0.000{col 63}{space 4} 3.134421{col 76}{space 3} 8.990058
{txt}{space 17}290  {c |}{col 23}{res}{space 2} 8.779625{col 35}{space 2} 3.627762{col 46}{space 1}    2.42{col 55}{space 3}0.016{col 63}{space 4} 1.669343{col 76}{space 3} 15.88991
{txt}{space 17}300  {c |}{col 23}{res}{space 2} 6.622914{col 35}{space 2}  2.07029{col 46}{space 1}    3.20{col 55}{space 3}0.001{col 63}{space 4} 2.565219{col 76}{space 3} 10.68061
{txt}{space 17}304  {c |}{col 23}{res}{space 2} 7.932411{col 35}{space 2} 2.323877{col 46}{space 1}    3.41{col 55}{space 3}0.001{col 63}{space 4} 3.377696{col 76}{space 3} 12.48713
{txt}{space 17}310  {c |}{col 23}{res}{space 2} 7.141516{col 35}{space 2} 2.519724{col 46}{space 1}    2.83{col 55}{space 3}0.005{col 63}{space 4} 2.202947{col 76}{space 3} 12.08009
{txt}{space 17}320  {c |}{col 23}{res}{space 2}-8.643726{col 35}{space 2} 4.498182{col 46}{space 1}   -1.92{col 55}{space 3}0.055{col 63}{space 4}   -17.46{col 76}{space 3} .1725493
{txt}{space 17}323  {c |}{col 23}{res}{space 2} 2.746766{col 35}{space 2} .7504388{col 46}{space 1}    3.66{col 55}{space 3}0.000{col 63}{space 4} 1.275933{col 76}{space 3} 4.217599
{txt}{space 17}336  {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 17}341  {c |}{col 23}{res}{space 2} 1.511638{col 35}{space 2} .6784714{col 46}{space 1}    2.23{col 55}{space 3}0.026{col 63}{space 4} .1818589{col 76}{space 3} 2.841418
{txt}{space 17}351  {c |}{col 23}{res}{space 2} 3.885724{col 35}{space 2} 2.472509{col 46}{space 1}    1.57{col 55}{space 3}0.116{col 63}{space 4}-.9603049{col 76}{space 3} 8.731753
{txt}{space 17}357  {c |}{col 23}{res}{space 2}-3.224159{col 35}{space 2} 4.658648{col 46}{space 1}   -0.69{col 55}{space 3}0.489{col 63}{space 4}-12.35494{col 76}{space 3} 5.906623
{txt}{space 17}367  {c |}{col 23}{res}{space 2}-3.084938{col 35}{space 2} 5.100778{col 46}{space 1}   -0.60{col 55}{space 3}0.545{col 63}{space 4}-13.08228{col 76}{space 3} 6.912403
{txt}{space 17}376  {c |}{col 23}{res}{space 2} 2.828941{col 35}{space 2} 1.116432{col 46}{space 1}    2.53{col 55}{space 3}0.011{col 63}{space 4} .6407742{col 76}{space 3} 5.017107
{txt}{space 17}380  {c |}{col 23}{res}{space 2}-.7208103{col 35}{space 2} .8379913{col 46}{space 1}   -0.86{col 55}{space 3}0.390{col 63}{space 4}-2.363243{col 76}{space 3} .9216225
{txt}{space 17}390  {c |}{col 23}{res}{space 2} .1144372{col 35}{space 2} 1.083299{col 46}{space 1}    0.11{col 55}{space 3}0.916{col 63}{space 4}-2.008791{col 76}{space 3} 2.237665
{txt}{space 17}393  {c |}{col 23}{res}{space 2} 2.141602{col 35}{space 2} .9265815{col 46}{space 1}    2.31{col 55}{space 3}0.021{col 63}{space 4} .3255357{col 76}{space 3} 3.957668
{txt}{space 17}395  {c |}{col 23}{res}{space 2}-6.864598{col 35}{space 2} 3.246472{col 46}{space 1}   -2.11{col 55}{space 3}0.034{col 63}{space 4}-13.22757{col 76}{space 3}-.5016301
{txt}{space 17}398  {c |}{col 23}{res}{space 2} 3.117997{col 35}{space 2}  1.87721{col 46}{space 1}    1.66{col 55}{space 3}0.097{col 63}{space 4}-.5612668{col 76}{space 3} 6.797261
{txt}{space 17}401  {c |}{col 23}{res}{space 2}-5.100634{col 35}{space 2} 2.625381{col 46}{space 1}   -1.94{col 55}{space 3}0.052{col 63}{space 4}-10.24629{col 76}{space 3} .0450178
{txt}{space 17}402  {c |}{col 23}{res}{space 2}-12.88672{col 35}{space 2} 5.965751{col 46}{space 1}   -2.16{col 55}{space 3}0.031{col 63}{space 4}-24.57938{col 76}{space 3}-1.194066
{txt}{space 17}409  {c |}{col 23}{res}{space 2} 1.578732{col 35}{space 2}  1.49632{col 46}{space 1}    1.06{col 55}{space 3}0.291{col 63}{space 4}-1.354002{col 76}{space 3} 4.511466
{txt}{space 17}411  {c |}{col 23}{res}{space 2}-4.253632{col 35}{space 2} 1.594439{col 46}{space 1}   -2.67{col 55}{space 3}0.008{col 63}{space 4}-7.378675{col 76}{space 3}-1.128589
{txt}{space 17}419  {c |}{col 23}{res}{space 2} 8.460451{col 35}{space 2} 3.106178{col 46}{space 1}    2.72{col 55}{space 3}0.006{col 63}{space 4} 2.372453{col 76}{space 3} 14.54845
{txt}{space 17}428  {c |}{col 23}{res}{space 2}-3.878574{col 35}{space 2} 3.327782{col 46}{space 1}   -1.17{col 55}{space 3}0.244{col 63}{space 4}-10.40091{col 76}{space 3}  2.64376
{txt}{space 17}436  {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 17}439  {c |}{col 23}{res}{space 2}-2.751719{col 35}{space 2} 2.223393{col 46}{space 1}   -1.24{col 55}{space 3}0.216{col 63}{space 4}-7.109489{col 76}{space 3} 1.606051
{txt}{space 17}441  {c |}{col 23}{res}{space 2}-3.336569{col 35}{space 2}  2.61239{col 46}{space 1}   -1.28{col 55}{space 3}0.202{col 63}{space 4}-8.456759{col 76}{space 3}  1.78362
{txt}{space 17}448  {c |}{col 23}{res}{space 2} 1.329896{col 35}{space 2} 2.686622{col 46}{space 1}    0.50{col 55}{space 3}0.621{col 63}{space 4}-3.935786{col 76}{space 3} 6.595577
{txt}{space 17}464  {c |}{col 23}{res}{space 2}-6.326221{col 35}{space 2} 2.896297{col 46}{space 1}   -2.18{col 55}{space 3}0.029{col 63}{space 4}-12.00286{col 76}{space 3}-.6495835
{txt}{space 17}478  {c |}{col 23}{res}{space 2}-5.082502{col 35}{space 2}  4.09948{col 46}{space 1}   -1.24{col 55}{space 3}0.215{col 63}{space 4}-13.11734{col 76}{space 3} 2.952331
{txt}{space 17}483  {c |}{col 23}{res}{space 2} -3.86969{col 35}{space 2} 1.838111{col 46}{space 1}   -2.11{col 55}{space 3}0.035{col 63}{space 4}-7.472321{col 76}{space 3}-.2670595
{txt}{space 17}490  {c |}{col 23}{res}{space 2}-3.982063{col 35}{space 2} 3.639223{col 46}{space 1}   -1.09{col 55}{space 3}0.274{col 63}{space 4}-11.11481{col 76}{space 3} 3.150683
{txt}{space 17}505  {c |}{col 23}{res}{space 2} -6.24924{col 35}{space 2} 3.521324{col 46}{space 1}   -1.77{col 55}{space 3}0.076{col 63}{space 4}-13.15091{col 76}{space 3}  .652428
{txt}{space 17}508  {c |}{col 23}{res}{space 2}        0{col 35}{txt}  (omitted)
{space 17}527  {c |}{col 23}{res}{space 2}-2.077199{col 35}{space 2} 1.971445{col 46}{space 1}   -1.05{col 55}{space 3}0.292{col 63}{space 4}-5.941159{col 76}{space 3} 1.786762
{txt}{space 21} {c |}
{space 16}_cons {c |}{col 23}{res}{space 2}-33.74147{col 35}{space 2} 13.94487{col 46}{space 1}   -2.42{col 55}{space 3}0.016{col 63}{space 4}-61.07293{col 76}{space 3}-6.410022
{txt}{hline 22}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1 failure and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}9,141{col 51}{txt}missing .:  {res}0{txt}/{res}142,073

{txt}{col 19}mean:{res}{col 26} 27511.5
{txt}{col 15}std. dev:{res}{col 26} 15512.4

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6854{col 37}   14305{col 47}   26497{col 57}   41344{col 67}   49749

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}54{col 51}{txt}missing .:  {res}0{txt}/{res}142,073

{txt}{col 19}mean:{res}{col 26}  388.98
{txt}{col 15}std. dev:{res}{col 26} 233.061

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     145{col 47}     360{col 57}     553{col 67}     732

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}11{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}56{col 51}{txt}missing .:  {res}0{txt}/{res}142,073

{txt}{col 19}mean:{res}{col 26} 293.994
{txt}{col 15}std. dev:{res}{col 26} 131.344

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     320{col 57}     401{col 67}     436
{txt}
{com}. 
. 
. *** Table A17 ***
. 
. *** TSCS Models ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. *** Model 1 ***
. 
. logit major_frev $ind l_ARD i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 154 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3510 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 180.gwf_caseid != 0 predicts failure perfectly
      180.gwf_caseid dropped and 49 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 200.gwf_caseid != 0 predicts failure perfectly
      200.gwf_caseid dropped and 125 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 108 obs not used

note: 380.gwf_caseid != 0 predicts failure perfectly
      380.gwf_caseid dropped and 1123 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 407 obs not used

note: 428.gwf_caseid != 0 predicts failure perfectly
      428.gwf_caseid dropped and 3170 obs not used

note: 436.gwf_caseid != 0 predicts failure perfectly
      436.gwf_caseid dropped and 3156 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4461.3842}  
Iteration 1:{space 3}log likelihood = {res: -4348.204}  
Iteration 2:{space 3}log likelihood = {res:-3940.6715}  
Iteration 3:{space 3}log likelihood = {res:-3896.0753}  
Iteration 4:{space 3}log likelihood = {res:-3895.1335}  
Iteration 5:{space 3}log likelihood = {res:-3895.1118}  
Iteration 6:{space 3}log likelihood = {res:-3895.1118}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   183,088
{txt}{col 49}LR chi2({res}84{txt}){col 67}= {res}   1132.54
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3895.1118{txt}{col 49}Pseudo R2{col 67}= {res}    0.1269

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2}  .856962{col 29}{space 2} .1603719{col 40}{space 1}    5.34{col 49}{space 3}0.000{col 57}{space 4} .5426389{col 70}{space 3} 1.171285
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.0932596{col 29}{space 2} .0160309{col 40}{space 1}   -5.82{col 49}{space 3}0.000{col 57}{space 4}-.1246797{col 70}{space 3}-.0618396
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .2909137{col 29}{space 2} .1046434{col 40}{space 1}    2.78{col 49}{space 3}0.005{col 57}{space 4} .0858164{col 70}{space 3} .4960111
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{txt}{space 10}l_ARD {c |}{col 17}{res}{space 2}-.0492978{col 29}{space 2} .0073713{col 40}{space 1}   -6.69{col 49}{space 3}0.000{col 57}{space 4}-.0637453{col 70}{space 3}-.0348503
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} -5.74265{col 29}{space 2} .4802023{col 40}{space 1}  -11.96{col 49}{space 3}0.000{col 57}{space 4}-6.683829{col 70}{space 3}-4.801471
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}11,191{col 51}{txt}missing .:  {res}0{txt}/{res}183,088

{txt}{col 19}mean:{res}{col 26} 27595.1
{txt}{col 15}std. dev:{res}{col 26} 15705.3

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6546{col 37}   14095{col 47}   26893{col 57}   41475{col 67}   49695

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}62{col 51}{txt}missing .:  {res}0{txt}/{res}183,088

{txt}{col 19}mean:{res}{col 26} 431.217
{txt}{col 15}std. dev:{res}{col 26} 240.262

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     235{col 47}     436{col 57}     645{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}80{col 51}{txt}missing .:  {res}0{txt}/{res}183,088

{txt}{col 19}mean:{res}{col 26} 281.215
{txt}{col 15}std. dev:{res}{col 26} 134.343

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     184{col 47}     300{col 57}     395{col 67}     439
{txt}
{com}. 
. *** Model 2 ***
. 
. logit major_frev $ind l_ARD $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 146 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3510 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 180.gwf_caseid != 0 predicts failure perfectly
      180.gwf_caseid dropped and 49 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 200.gwf_caseid != 0 predicts failure perfectly
      200.gwf_caseid dropped and 124 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 102 obs not used

note: 380.gwf_caseid != 0 predicts failure perfectly
      380.gwf_caseid dropped and 1123 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 403 obs not used

note: 428.gwf_caseid != 0 predicts failure perfectly
      428.gwf_caseid dropped and 3170 obs not used

note: 436.gwf_caseid != 0 predicts failure perfectly
      436.gwf_caseid dropped and 3156 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4061.8142}  
Iteration 1:{space 3}log likelihood = {res:-3788.4944}  
Iteration 2:{space 3}log likelihood = {res: -3224.024}  
Iteration 3:{space 3}log likelihood = {res:-3036.5019}  
Iteration 4:{space 3}log likelihood = {res:-3030.5118}  
Iteration 5:{space 3}log likelihood = {res:-3030.4618}  
Iteration 6:{space 3}log likelihood = {res:-3030.4617}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   178,527
{txt}{col 49}LR chi2({res}84{txt}){col 67}= {res}   2062.71
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3030.4617{txt}{col 49}Pseudo R2{col 67}= {res}    0.2539

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2}  .735353{col 29}{space 2} .1754559{col 40}{space 1}    4.19{col 49}{space 3}0.000{col 57}{space 4} .3914658{col 70}{space 3}  1.07924
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.0533601{col 29}{space 2} .0162006{col 40}{space 1}   -3.29{col 49}{space 3}0.001{col 57}{space 4}-.0851126{col 70}{space 3}-.0216075
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .2475491{col 29}{space 2} .1125153{col 40}{space 1}    2.20{col 49}{space 3}0.028{col 57}{space 4} .0270231{col 70}{space 3} .4680751
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.4674639{col 29}{space 2} .2498186{col 40}{space 1}   -1.87{col 49}{space 3}0.061{col 57}{space 4}-.9570994{col 70}{space 3} .0221716
{txt}{space 10}l_ARD {c |}{col 17}{res}{space 2} -.081408{col 29}{space 2} .0087099{col 40}{space 1}   -9.35{col 49}{space 3}0.000{col 57}{space 4} -.098479{col 70}{space 3}-.0643369
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2}-.0612557{col 29}{space 2}    .0155{col 40}{space 1}   -3.95{col 49}{space 3}0.000{col 57}{space 4}-.0916351{col 70}{space 3}-.0308763
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.1529225{col 29}{space 2} .0086573{col 40}{space 1}  -17.66{col 49}{space 3}0.000{col 57}{space 4}-.1698905{col 70}{space 3}-.1359544
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{txt}{space 12}36  {c |}{col 17}{res}{space 2} .5194307{col 29}{space 2} 1.099414{col 40}{space 1}    0.47{col 49}{space 3}0.637{col 57}{space 4}-1.635381{col 70}{space 3} 2.674243
{txt}{space 12}38  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}505  {c |}{col 17}{res}{space 2} 1.636123{col 29}{space 2} 1.066964{col 40}{space 1}    1.53{col 49}{space 3}0.125{col 57}{space 4} -.455087{col 70}{space 3} 3.727333
{txt}{space 11}508  {c |}{col 17}{res}{space 2}-.9735679{col 29}{space 2} 1.418811{col 40}{space 1}   -0.69{col 49}{space 3}0.493{col 57}{space 4}-3.754387{col 70}{space 3} 1.807251
{txt}{space 11}525  {c |}{col 17}{res}{space 2}  -.77692{col 29}{space 2} 1.419097{col 40}{space 1}   -0.55{col 49}{space 3}0.584{col 57}{space 4}-3.558298{col 70}{space 3} 2.004458
{txt}{space 11}527  {c |}{col 17}{res}{space 2} .9794947{col 29}{space 2} 1.073036{col 40}{space 1}    0.91{col 49}{space 3}0.361{col 57}{space 4}-1.123617{col 70}{space 3} 3.082606
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.516743{col 29}{space 2}  1.02194{col 40}{space 1}   -4.42{col 49}{space 3}0.000{col 57}{space 4}-6.519708{col 70}{space 3}-2.513778
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}10,924{col 51}{txt}missing .:  {res}0{txt}/{res}178,527

{txt}{col 19}mean:{res}{col 26} 27609.3
{txt}{col 15}std. dev:{res}{col 26}   15670

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6625{col 37}   14152{col 47}   26879{col 57}   41475{col 67}   49696

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}61{col 51}{txt}missing .:  {res}0{txt}/{res}178,527

{txt}{col 19}mean:{res}{col 26} 424.924
{txt}{col 15}std. dev:{res}{col 26} 239.445

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     235{col 47}     436{col 57}     616{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}78{col 51}{txt}missing .:  {res}0{txt}/{res}178,527

{txt}{col 19}mean:{res}{col 26} 282.984
{txt}{col 15}std. dev:{res}{col 26} 134.142

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     184{col 47}     302{col 57}     395{col 67}     439
{txt}
{com}. 
. *** Model 3 ***
. 
. logit major_frev $ind l_ARD female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 144 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3510 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 180.gwf_caseid != 0 predicts failure perfectly
      180.gwf_caseid dropped and 49 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 200.gwf_caseid != 0 predicts failure perfectly
      200.gwf_caseid dropped and 124 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 102 obs not used

note: 380.gwf_caseid != 0 predicts failure perfectly
      380.gwf_caseid dropped and 1123 obs not used

note: 402.gwf_caseid != 0 predicts failure perfectly
      402.gwf_caseid dropped and 403 obs not used

note: 428.gwf_caseid != 0 predicts failure perfectly
      428.gwf_caseid dropped and 3095 obs not used

note: 436.gwf_caseid != 0 predicts failure perfectly
      436.gwf_caseid dropped and 3156 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4060.1403}  
Iteration 1:{space 3}log likelihood = {res:-3761.0429}  
Iteration 2:{space 3}log likelihood = {res:-3210.5065}  
Iteration 3:{space 3}log likelihood = {res:-3017.3391}  
Iteration 4:{space 3}log likelihood = {res:-3010.4166}  
Iteration 5:{space 3}log likelihood = {res:-3010.3231}  
Iteration 6:{space 3}log likelihood = {res: -3010.323}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   178,037
{txt}{col 49}LR chi2({res}90{txt}){col 67}= {res}   2099.63
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -3010.323{txt}{col 49}Pseudo R2{col 67}= {res}    0.2586

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} .7321669{col 31}{space 2} .1756466{col 42}{space 1}    4.17{col 51}{space 3}0.000{col 59}{space 4} .3879058{col 72}{space 3} 1.076428
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.0533354{col 31}{space 2} .0162091{col 42}{space 1}   -3.29{col 51}{space 3}0.001{col 59}{space 4}-.0851047{col 72}{space 3}-.0215661
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2485972{col 31}{space 2} .1129779{col 42}{space 1}    2.20{col 51}{space 3}0.028{col 59}{space 4} .0271647{col 72}{space 3} .4700298
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.4657352{col 31}{space 2} .2503156{col 42}{space 1}   -1.86{col 51}{space 3}0.063{col 59}{space 4}-.9563447{col 72}{space 3} .0248743
{txt}{space 12}l_ARD {c |}{col 19}{res}{space 2}-.0870161{col 31}{space 2} .0090285{col 42}{space 1}   -9.64{col 51}{space 3}0.000{col 59}{space 4}-.1047116{col 72}{space 3}-.0693206
{txt}{space 11}female {c |}{col 19}{res}{space 2} .0819158{col 31}{space 2} .1650112{col 42}{space 1}    0.50{col 51}{space 3}0.620{col 59}{space 4}-.2415002{col 72}{space 3} .4053319
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2}-.0104195{col 31}{space 2}  .276756{col 42}{space 1}   -0.04{col 51}{space 3}0.970{col 59}{space 4}-.5528514{col 72}{space 3} .5320123
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2}-.9944362{col 31}{space 2}  .281299{col 42}{space 1}   -3.54{col 51}{space 3}0.000{col 59}{space 4}-1.545772{col 72}{space 3}-.4431002
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-8.902638{col 31}{space 2} 2.399535{col 42}{space 1}   -3.71{col 51}{space 3}0.000{col 59}{space 4}-13.60564{col 72}{space 3}-4.199635
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-3.107325{col 31}{space 2} .7159072{col 42}{space 1}   -4.34{col 51}{space 3}0.000{col 59}{space 4}-4.510477{col 72}{space 3}-1.704173
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}-1.802526{col 31}{space 2} 1.091892{col 42}{space 1}   -1.65{col 51}{space 3}0.099{col 59}{space 4}-3.942594{col 72}{space 3} .3375426
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2} 1.286923{col 31}{space 2} .5035625{col 42}{space 1}    2.56{col 51}{space 3}0.011{col 59}{space 4} .2999587{col 72}{space 3} 2.273887
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-3.208009{col 31}{space 2} .8275134{col 42}{space 1}   -3.88{col 51}{space 3}0.000{col 59}{space 4}-4.829905{col 72}{space 3}-1.586112
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2}-2.007077{col 31}{space 2} 1.032505{col 42}{space 1}   -1.94{col 51}{space 3}0.052{col 59}{space 4} -4.03075{col 72}{space 3} .0165961
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2}-.0754143{col 31}{space 2} .0313133{col 42}{space 1}   -2.41{col 51}{space 3}0.016{col 59}{space 4}-.1367872{col 72}{space 3}-.0140414
{txt}{space 4}yr_since_exit {c |}{col 19}{res}{space 2} -.152153{col 31}{space 2} .0086552{col 42}{space 1}  -17.58{col 51}{space 3}0.000{col 59}{space 4}-.1691169{col 72}{space 3} -.135189
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2} -4.22281{col 31}{space 2} 1.777752{col 42}{space 1}   -2.38{col 51}{space 3}0.018{col 59}{space 4}-7.707141{col 72}{space 3}-.7384792
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2}-5.105314{col 31}{space 2} 2.668976{col 42}{space 1}   -1.91{col 51}{space 3}0.056{col 59}{space 4}-10.33641{col 72}{space 3} .1257824
{txt}{space 14}36  {c |}{col 19}{res}{space 2} 3.386444{col 31}{space 2} 1.566939{col 42}{space 1}    2.16{col 51}{space 3}0.031{col 59}{space 4}    .3153{col 72}{space 3} 6.457588
{txt}{space 14}38  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}51  {c |}{col 19}{res}{space 2}-1.610372{col 31}{space 2} 2.283619{col 42}{space 1}   -0.71{col 51}{space 3}0.481{col 59}{space 4}-6.086184{col 72}{space 3} 2.865439
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 5.060859{col 31}{space 2} 1.389612{col 42}{space 1}    3.64{col 51}{space 3}0.000{col 59}{space 4} 2.337269{col 72}{space 3} 7.784449
{txt}{space 14}69  {c |}{col 19}{res}{space 2} 10.63772{col 31}{space 2} 4.124678{col 42}{space 1}    2.58{col 51}{space 3}0.010{col 59}{space 4} 2.553498{col 72}{space 3} 18.72194
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-3.526634{col 31}{space 2} 1.010793{col 42}{space 1}   -3.49{col 51}{space 3}0.000{col 59}{space 4}-5.507752{col 72}{space 3}-1.545517
{txt}{space 14}78  {c |}{col 19}{res}{space 2}-1.096056{col 31}{space 2}  1.58066{col 42}{space 1}   -0.69{col 51}{space 3}0.488{col 59}{space 4}-4.194092{col 72}{space 3} 2.001981
{txt}{space 14}82  {c |}{col 19}{res}{space 2}  4.69488{col 31}{space 2} 1.772716{col 42}{space 1}    2.65{col 51}{space 3}0.008{col 59}{space 4} 1.220421{col 72}{space 3} 8.169339
{txt}{space 14}85  {c |}{col 19}{res}{space 2} 5.362735{col 31}{space 2}  1.72604{col 42}{space 1}    3.11{col 51}{space 3}0.002{col 59}{space 4} 1.979759{col 72}{space 3} 8.745711
{txt}{space 14}98  {c |}{col 19}{res}{space 2}  4.49755{col 31}{space 2} 1.561477{col 42}{space 1}    2.88{col 51}{space 3}0.004{col 59}{space 4} 1.437112{col 72}{space 3} 7.557988
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2}-2.132109{col 31}{space 2} 2.004579{col 42}{space 1}   -1.06{col 51}{space 3}0.288{col 59}{space 4}-6.061013{col 72}{space 3} 1.796794
{txt}{space 13}141  {c |}{col 19}{res}{space 2}-2.659164{col 31}{space 2} 2.096593{col 42}{space 1}   -1.27{col 51}{space 3}0.205{col 59}{space 4}-6.768411{col 72}{space 3} 1.450083
{txt}{space 13}147  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2} 4.129899{col 31}{space 2} 1.556102{col 42}{space 1}    2.65{col 51}{space 3}0.008{col 59}{space 4} 1.079995{col 72}{space 3} 7.179803
{txt}{space 13}159  {c |}{col 19}{res}{space 2} 1.846598{col 31}{space 2} 1.552827{col 42}{space 1}    1.19{col 51}{space 3}0.234{col 59}{space 4}-1.196887{col 72}{space 3} 4.890083
{txt}{space 13}170  {c |}{col 19}{res}{space 2}-2.960364{col 31}{space 2} 3.023481{col 42}{space 1}   -0.98{col 51}{space 3}0.328{col 59}{space 4}-8.886278{col 72}{space 3} 2.965549
{txt}{space 13}174  {c |}{col 19}{res}{space 2}-5.759655{col 31}{space 2}  2.56231{col 42}{space 1}   -2.25{col 51}{space 3}0.025{col 59}{space 4}-10.78169{col 72}{space 3}-.7376195
{txt}{space 13}180  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}182  {c |}{col 19}{res}{space 2} 4.815159{col 31}{space 2} 1.996325{col 42}{space 1}    2.41{col 51}{space 3}0.016{col 59}{space 4} .9024338{col 72}{space 3} 8.727883
{txt}{space 13}184  {c |}{col 19}{res}{space 2} -.855841{col 31}{space 2}  1.22105{col 42}{space 1}   -0.70{col 51}{space 3}0.483{col 59}{space 4}-3.249054{col 72}{space 3} 1.537373
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}196  {c |}{col 19}{res}{space 2} 3.739434{col 31}{space 2} 1.761856{col 42}{space 1}    2.12{col 51}{space 3}0.034{col 59}{space 4} .2862602{col 72}{space 3} 7.192608
{txt}{space 13}200  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}205  {c |}{col 19}{res}{space 2} 4.136298{col 31}{space 2} 1.577156{col 42}{space 1}    2.62{col 51}{space 3}0.009{col 59}{space 4}  1.04513{col 72}{space 3} 7.227467
{txt}{space 13}209  {c |}{col 19}{res}{space 2}-1.567627{col 31}{space 2} 1.706759{col 42}{space 1}   -0.92{col 51}{space 3}0.358{col 59}{space 4}-4.912813{col 72}{space 3}  1.77756
{txt}{space 13}219  {c |}{col 19}{res}{space 2} 4.516995{col 31}{space 2} 1.572257{col 42}{space 1}    2.87{col 51}{space 3}0.004{col 59}{space 4} 1.435428{col 72}{space 3} 7.598562
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{txt}{space 13}232  {c |}{col 19}{res}{space 2}-2.893905{col 31}{space 2}  .968948{col 42}{space 1}   -2.99{col 51}{space 3}0.003{col 59}{space 4}-4.793008{col 72}{space 3}-.9948015
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{txt}{space 13}265  {c |}{col 19}{res}{space 2}  4.89115{col 31}{space 2} 3.033607{col 42}{space 1}    1.61{col 51}{space 3}0.107{col 59}{space 4} -1.05461{col 72}{space 3} 10.83691
{txt}{space 13}270  {c |}{col 19}{res}{space 2}-4.343977{col 31}{space 2} 2.151792{col 42}{space 1}   -2.02{col 51}{space 3}0.044{col 59}{space 4}-8.561411{col 72}{space 3}-.1265418
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{space 17} {c |}
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{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}10,902{col 51}{txt}missing .:  {res}0{txt}/{res}178,037

{txt}{col 19}mean:{res}{col 26} 27602.4
{txt}{col 15}std. dev:{res}{col 26} 15668.9

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6623{col 37}   14165{col 47}   26873{col 57}   41473{col 67}   49694

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}61{col 51}{txt}missing .:  {res}0{txt}/{res}178,037

{txt}{col 19}mean:{res}{col 26} 424.486
{txt}{col 15}std. dev:{res}{col 26} 239.487

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     235{col 47}     436{col 57}     616{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}78{col 51}{txt}missing .:  {res}0{txt}/{res}178,037

{txt}{col 19}mean:{res}{col 26} 282.615
{txt}{col 15}std. dev:{res}{col 26} 134.065

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     184{col 47}     302{col 57}     395{col 67}     439
{txt}
{com}. 
. 
. 
. *** Table A18 ***
. 
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. *** Model 1 ***
. 
. logit major_frev $ind i.gwf_caseid if max_yr_t>3

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 123 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3232.5794}  
Iteration 1:{space 3}log likelihood = {res:-3016.5929}  
Iteration 2:{space 3}log likelihood = {res:-2868.6104}  
Iteration 3:{space 3}log likelihood = {res:-2860.3062}  
Iteration 4:{space 3}log likelihood = {res: -2860.132}  
Iteration 5:{space 3}log likelihood = {res:-2860.1318}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    12,894
{txt}{col 49}LR chi2({res}78{txt}){col 67}= {res}    744.90
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2860.1318{txt}{col 49}Pseudo R2{col 67}= {res}    0.1152

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
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{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .3784819{col 29}{space 2} .0957679{col 40}{space 1}    3.95{col 49}{space 3}0.000{col 57}{space 4} .1907803{col 70}{space 3} .5661836
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{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{txt}{space 11}367  {c |}{col 17}{res}{space 2}  1.64488{col 29}{space 2} .3722277{col 40}{space 1}    4.42{col 49}{space 3}0.000{col 57}{space 4} .9153273{col 70}{space 3} 2.374433
{txt}{space 11}376  {c |}{col 17}{res}{space 2} .9852083{col 29}{space 2} .4899237{col 40}{space 1}    2.01{col 49}{space 3}0.044{col 57}{space 4} .0249755{col 70}{space 3} 1.945441
{txt}{space 11}380  {c |}{col 17}{res}{space 2} 1.318411{col 29}{space 2} .6183295{col 40}{space 1}    2.13{col 49}{space 3}0.033{col 57}{space 4} .1065079{col 70}{space 3} 2.530315
{txt}{space 11}387  {c |}{col 17}{res}{space 2}  .162748{col 29}{space 2} .6713752{col 40}{space 1}    0.24{col 49}{space 3}0.808{col 57}{space 4}-1.153123{col 70}{space 3} 1.478619
{txt}{space 11}390  {c |}{col 17}{res}{space 2}-.8050135{col 29}{space 2} .7817677{col 40}{space 1}   -1.03{col 49}{space 3}0.303{col 57}{space 4} -2.33725{col 70}{space 3} .7272231
{txt}{space 11}393  {c |}{col 17}{res}{space 2} 1.964158{col 29}{space 2} .4511771{col 40}{space 1}    4.35{col 49}{space 3}0.000{col 57}{space 4} 1.079867{col 70}{space 3} 2.848449
{txt}{space 11}395  {c |}{col 17}{res}{space 2}-.5864223{col 29}{space 2} .6649387{col 40}{space 1}   -0.88{col 49}{space 3}0.378{col 57}{space 4}-1.889678{col 70}{space 3} .7168336
{txt}{space 11}398  {c |}{col 17}{res}{space 2} 1.429007{col 29}{space 2} .5417292{col 40}{space 1}    2.64{col 49}{space 3}0.008{col 57}{space 4} .3672373{col 70}{space 3} 2.490777
{txt}{space 11}401  {c |}{col 17}{res}{space 2}-.8233287{col 29}{space 2} .7807322{col 40}{space 1}   -1.05{col 49}{space 3}0.292{col 57}{space 4}-2.353536{col 70}{space 3} .7068783
{txt}{space 11}409  {c |}{col 17}{res}{space 2} 2.314472{col 29}{space 2} .3788313{col 40}{space 1}    6.11{col 49}{space 3}0.000{col 57}{space 4} 1.571976{col 70}{space 3} 3.056967
{txt}{space 11}411  {c |}{col 17}{res}{space 2}-.7686379{col 29}{space 2} .5532091{col 40}{space 1}   -1.39{col 49}{space 3}0.165{col 57}{space 4}-1.852908{col 70}{space 3} .3156321
{txt}{space 11}419  {c |}{col 17}{res}{space 2} 1.821092{col 29}{space 2} .3814626{col 40}{space 1}    4.77{col 49}{space 3}0.000{col 57}{space 4} 1.073439{col 70}{space 3} 2.568745
{txt}{space 11}428  {c |}{col 17}{res}{space 2} 2.391679{col 29}{space 2} .3892781{col 40}{space 1}    6.14{col 49}{space 3}0.000{col 57}{space 4} 1.628708{col 70}{space 3}  3.15465
{txt}{space 11}436  {c |}{col 17}{res}{space 2} .9128813{col 29}{space 2} .5326828{col 40}{space 1}    1.71{col 49}{space 3}0.087{col 57}{space 4}-.1311577{col 70}{space 3}  1.95692
{txt}{space 11}439  {c |}{col 17}{res}{space 2} 2.269514{col 29}{space 2} .4662711{col 40}{space 1}    4.87{col 49}{space 3}0.000{col 57}{space 4} 1.355639{col 70}{space 3} 3.183389
{txt}{space 11}441  {c |}{col 17}{res}{space 2} 2.977715{col 29}{space 2} .3689446{col 40}{space 1}    8.07{col 49}{space 3}0.000{col 57}{space 4} 2.254597{col 70}{space 3} 3.700833
{txt}{space 11}464  {c |}{col 17}{res}{space 2} 1.419576{col 29}{space 2} .4072541{col 40}{space 1}    3.49{col 49}{space 3}0.000{col 57}{space 4} .6213724{col 70}{space 3} 2.217779
{txt}{space 11}476  {c |}{col 17}{res}{space 2} .9266257{col 29}{space 2} .4489381{col 40}{space 1}    2.06{col 49}{space 3}0.039{col 57}{space 4} .0467232{col 70}{space 3} 1.806528
{txt}{space 11}478  {c |}{col 17}{res}{space 2}-.9290097{col 29}{space 2} .7808694{col 40}{space 1}   -1.19{col 49}{space 3}0.234{col 57}{space 4}-2.459486{col 70}{space 3} .6014662
{txt}{space 11}483  {c |}{col 17}{res}{space 2} .4903142{col 29}{space 2} .4689498{col 40}{space 1}    1.05{col 49}{space 3}0.296{col 57}{space 4}-.4288105{col 70}{space 3} 1.409439
{txt}{space 11}490  {c |}{col 17}{res}{space 2} .8931044{col 29}{space 2} .6803347{col 40}{space 1}    1.31{col 49}{space 3}0.189{col 57}{space 4}-.4403271{col 70}{space 3} 2.226536
{txt}{space 11}505  {c |}{col 17}{res}{space 2} 1.591535{col 29}{space 2} .5008386{col 40}{space 1}    3.18{col 49}{space 3}0.001{col 57}{space 4} .6099091{col 70}{space 3} 2.573161
{txt}{space 11}508  {c |}{col 17}{res}{space 2}-.3702521{col 29}{space 2} 1.061313{col 40}{space 1}   -0.35{col 49}{space 3}0.727{col 57}{space 4}-2.450387{col 70}{space 3} 1.709882
{txt}{space 11}525  {c |}{col 17}{res}{space 2}-.0028556{col 29}{space 2} .6676704{col 40}{space 1}   -0.00{col 49}{space 3}0.997{col 57}{space 4}-1.311465{col 70}{space 3} 1.305754
{txt}{space 11}527  {c |}{col 17}{res}{space 2} .2332833{col 29}{space 2} .5013188{col 40}{space 1}    0.47{col 49}{space 3}0.642{col 57}{space 4}-.7492835{col 70}{space 3}  1.21585
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.455334{col 29}{space 2} .3591081{col 40}{space 1}  -12.41{col 49}{space 3}0.000{col 57}{space 4}-5.159173{col 70}{space 3}-3.751495
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}10,959{col 51}{txt}missing .:  {res}0{txt}/{res}12,894

{txt}{col 19}mean:{res}{col 26} 27359.1
{txt}{col 15}std. dev:{res}{col 26}   15968

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    5573{col 37}   13540{col 47} 26931.5{col 57}   41457{col 67}   49507

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}61{col 51}{txt}missing .:  {res}0{txt}/{res}12,894

{txt}{col 19}mean:{res}{col 26} 479.774
{txt}{col 15}std. dev:{res}{col 26} 224.562

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      95{col 37}     360{col 47}     452{col 57}     700{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}75{col 51}{txt}missing .:  {res}0{txt}/{res}12,894

{txt}{col 19}mean:{res}{col 26} 282.962
{txt}{col 15}std. dev:{res}{col 26} 139.208

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     203{col 47}     300{col 57}     395{col 67}     464
{txt}
{com}. 
. *** Model 2 ***
. 
. logit major_frev $ind female dem_const coldwar $pre $macro i.gwf_caseid if max_yr_t>3

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 10 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 36 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3230.5792}  
Iteration 1:{space 3}log likelihood = {res:-2195.1304}  
Iteration 2:{space 3}log likelihood = {res: -1884.531}  
Iteration 3:{space 3}log likelihood = {res:-1692.2101}  
Iteration 4:{space 3}log likelihood = {res:-1642.3893}  
Iteration 5:{space 3}log likelihood = {res:-1634.5491}  
Iteration 6:{space 3}log likelihood = {res:-1632.8883}  
Iteration 7:{space 3}log likelihood = {res:-1632.8805}  
Iteration 8:{space 3}log likelihood = {res:-1632.8805}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    12,866
{txt}{col 49}LR chi2({res}84{txt}){col 67}= {res}   3195.40
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1632.8805{txt}{col 49}Pseudo R2{col 67}= {res}    0.4946

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 2.461591{col 31}{space 2} .2665773{col 42}{space 1}    9.23{col 51}{space 3}0.000{col 59}{space 4} 1.939109{col 72}{space 3} 2.984073
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.0793297{col 31}{space 2} .0181191{col 42}{space 1}   -4.38{col 51}{space 3}0.000{col 59}{space 4}-.1148424{col 72}{space 3} -.043817
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .3746907{col 31}{space 2} .1318349{col 42}{space 1}    2.84{col 51}{space 3}0.004{col 59}{space 4}  .116299{col 72}{space 3} .6330823
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}  -.43494{col 31}{space 2} .2741495{col 42}{space 1}   -1.59{col 51}{space 3}0.113{col 59}{space 4}-.9722632{col 72}{space 3} .1023831
{txt}{space 11}female {c |}{col 19}{res}{space 2} .3336496{col 31}{space 2} .1941731{col 42}{space 1}    1.72{col 51}{space 3}0.086{col 59}{space 4}-.0469226{col 72}{space 3} .7142219
{txt}{space 8}dem_const {c |}{col 19}{res}{space 2}-1.995706{col 31}{space 2} .5002942{col 42}{space 1}   -3.99{col 51}{space 3}0.000{col 59}{space 4}-2.976265{col 72}{space 3}-1.015147
{txt}{space 10}coldwar {c |}{col 19}{res}{space 2}-.9638642{col 31}{space 2} .6751807{col 42}{space 1}   -1.43{col 51}{space 3}0.153{col 59}{space 4}-2.287194{col 72}{space 3} .3594657
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-57.42219{col 31}{space 2} 5.088444{col 42}{space 1}  -11.28{col 51}{space 3}0.000{col 59}{space 4}-67.39536{col 72}{space 3}-47.44902
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-15.68266{col 31}{space 2}  1.54219{col 42}{space 1}  -10.17{col 51}{space 3}0.000{col 59}{space 4}-18.70529{col 72}{space 3}-12.66002
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2} 5.115309{col 31}{space 2} .8576792{col 42}{space 1}    5.96{col 51}{space 3}0.000{col 59}{space 4} 3.434289{col 72}{space 3}  6.79633
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}-10.89345{col 31}{space 2} .9683379{col 42}{space 1}  -11.25{col 51}{space 3}0.000{col 59}{space 4}-12.79136{col 72}{space 3}-8.995547
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-1.935724{col 31}{space 2} 4.156246{col 42}{space 1}   -0.47{col 51}{space 3}0.641{col 59}{space 4}-10.08182{col 72}{space 3} 6.210369
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2}-34.18373{col 31}{space 2} 1.897787{col 42}{space 1}  -18.01{col 51}{space 3}0.000{col 59}{space 4}-37.90332{col 72}{space 3}-30.46414
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2}-46.76032{col 31}{space 2} 3.348264{col 42}{space 1}  -13.97{col 51}{space 3}0.000{col 59}{space 4} -53.3228{col 72}{space 3}-40.19785
{txt}{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} 39.99704{col 31}{space 2} 2.518963{col 42}{space 1}   15.88{col 51}{space 3}0.000{col 59}{space 4} 35.05997{col 72}{space 3} 44.93412
{txt}{space 14}38  {c |}{col 19}{res}{space 2} 113.8739{col 31}{space 2} 8.028916{col 42}{space 1}   14.18{col 51}{space 3}0.000{col 59}{space 4} 98.13752{col 72}{space 3} 129.6103
{txt}{space 14}51  {c |}{col 19}{res}{space 2}-57.87473{col 31}{space 2} 3.409175{col 42}{space 1}  -16.98{col 51}{space 3}0.000{col 59}{space 4} -64.5566{col 72}{space 3}-51.19287
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 16.60073{col 31}{space 2} 3.753552{col 42}{space 1}    4.42{col 51}{space 3}0.000{col 59}{space 4} 9.243899{col 72}{space 3} 23.95755
{txt}{space 14}69  {c |}{col 19}{res}{space 2} 131.6209{col 31}{space 2} 7.703482{col 42}{space 1}   17.09{col 51}{space 3}0.000{col 59}{space 4} 116.5224{col 72}{space 3} 146.7195
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-7.842915{col 31}{space 2} 2.098924{col 42}{space 1}   -3.74{col 51}{space 3}0.000{col 59}{space 4}-11.95673{col 72}{space 3}  -3.7291
{txt}{space 14}78  {c |}{col 19}{res}{space 2}-23.50981{col 31}{space 2} 1.239095{col 42}{space 1}  -18.97{col 51}{space 3}0.000{col 59}{space 4} -25.9384{col 72}{space 3}-21.08123
{txt}{space 14}85  {c |}{col 19}{res}{space 2} 1.790092{col 31}{space 2} 3.685235{col 42}{space 1}    0.49{col 51}{space 3}0.627{col 59}{space 4}-5.432835{col 72}{space 3} 9.013019
{txt}{space 14}98  {c |}{col 19}{res}{space 2}-22.60691{col 31}{space 2} 2.959258{col 42}{space 1}   -7.64{col 51}{space 3}0.000{col 59}{space 4}-28.40695{col 72}{space 3}-16.80687
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2} -66.5841{col 31}{space 2}  3.33027{col 42}{space 1}  -19.99{col 51}{space 3}0.000{col 59}{space 4}-73.11131{col 72}{space 3}-60.05689
{txt}{space 13}141  {c |}{col 19}{res}{space 2}-35.91424{col 31}{space 2} 3.745856{col 42}{space 1}   -9.59{col 51}{space 3}0.000{col 59}{space 4}-43.25598{col 72}{space 3} -28.5725
{txt}{space 13}147  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2} 37.82906{col 31}{space 2} 3.976809{col 42}{space 1}    9.51{col 51}{space 3}0.000{col 59}{space 4} 30.03466{col 72}{space 3} 45.62346
{txt}{space 13}159  {c |}{col 19}{res}{space 2} 13.76961{col 31}{space 2} 2.161385{col 42}{space 1}    6.37{col 51}{space 3}0.000{col 59}{space 4} 9.533372{col 72}{space 3} 18.00585
{txt}{space 13}174  {c |}{col 19}{res}{space 2}-57.67746{col 31}{space 2} 4.617922{col 42}{space 1}  -12.49{col 51}{space 3}0.000{col 59}{space 4}-66.72842{col 72}{space 3} -48.6265
{txt}{space 13}184  {c |}{col 19}{res}{space 2}-10.24839{col 31}{space 2} 1.203355{col 42}{space 1}   -8.52{col 51}{space 3}0.000{col 59}{space 4}-12.60692{col 72}{space 3}-7.889861
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}196  {c |}{col 19}{res}{space 2} 35.95999{col 31}{space 2} 3.192235{col 42}{space 1}   11.26{col 51}{space 3}0.000{col 59}{space 4} 29.70332{col 72}{space 3} 42.21666
{txt}{space 13}203  {c |}{col 19}{res}{space 2}-111.6571{col 31}{space 2}  5.95456{col 42}{space 1}  -18.75{col 51}{space 3}0.000{col 59}{space 4}-123.3278{col 72}{space 3}-99.98634
{txt}{space 13}205  {c |}{col 19}{res}{space 2}-41.75622{col 31}{space 2} 2.452305{col 42}{space 1}  -17.03{col 51}{space 3}0.000{col 59}{space 4}-46.56265{col 72}{space 3}-36.94979
{txt}{space 13}209  {c |}{col 19}{res}{space 2}-41.32137{col 31}{space 2} 2.123891{col 42}{space 1}  -19.46{col 51}{space 3}0.000{col 59}{space 4}-45.48412{col 72}{space 3}-37.15862
{txt}{space 13}219  {c |}{col 19}{res}{space 2} 11.29603{col 31}{space 2} 3.090385{col 42}{space 1}    3.66{col 51}{space 3}0.000{col 59}{space 4} 5.238991{col 72}{space 3} 17.35308
{txt}{space 13}222  {c |}{col 19}{res}{space 2}-43.28528{col 31}{space 2} 2.348377{col 42}{space 1}  -18.43{col 51}{space 3}0.000{col 59}{space 4}-47.88802{col 72}{space 3}-38.68255
{txt}{space 13}229  {c |}{col 19}{res}{space 2} 8.845408{col 31}{space 2} 2.579323{col 42}{space 1}    3.43{col 51}{space 3}0.001{col 59}{space 4} 3.790027{col 72}{space 3} 13.90079
{txt}{space 13}232  {c |}{col 19}{res}{space 2} 3.628863{col 31}{space 2} 1.863099{col 42}{space 1}    1.95{col 51}{space 3}0.051{col 59}{space 4}-.0227433{col 72}{space 3} 7.280469
{txt}{space 13}238  {c |}{col 19}{res}{space 2} 94.90855{col 31}{space 2} 5.035798{col 42}{space 1}   18.85{col 51}{space 3}0.000{col 59}{space 4} 85.03856{col 72}{space 3} 104.7785
{txt}{space 13}248  {c |}{col 19}{res}{space 2} 43.43738{col 31}{space 2} 1.747617{col 42}{space 1}   24.86{col 51}{space 3}0.000{col 59}{space 4} 40.01211{col 72}{space 3} 46.86264
{txt}{space 13}255  {c |}{col 19}{res}{space 2}-6.447294{col 31}{space 2} 1.134197{col 42}{space 1}   -5.68{col 51}{space 3}0.000{col 59}{space 4}-8.670279{col 72}{space 3}-4.224309
{txt}{space 13}260  {c |}{col 19}{res}{space 2} 32.11397{col 31}{space 2} 2.150445{col 42}{space 1}   14.93{col 51}{space 3}0.000{col 59}{space 4} 27.89918{col 72}{space 3} 36.32877
{txt}{space 13}265  {c |}{col 19}{res}{space 2} 98.24446{col 31}{space 2}  5.16368{col 42}{space 1}   19.03{col 51}{space 3}0.000{col 59}{space 4} 88.12383{col 72}{space 3} 108.3651
{txt}{space 13}270  {c |}{col 19}{res}{space 2}-51.88288{col 31}{space 2} 3.795062{col 42}{space 1}  -13.67{col 51}{space 3}0.000{col 59}{space 4}-59.32107{col 72}{space 3} -44.4447
{txt}{space 13}280  {c |}{col 19}{res}{space 2}-35.40894{col 31}{space 2} 4.180037{col 42}{space 1}   -8.47{col 51}{space 3}0.000{col 59}{space 4}-43.60166{col 72}{space 3}-27.21622
{txt}{space 13}284  {c |}{col 19}{res}{space 2}-32.30097{col 31}{space 2}  2.09533{col 42}{space 1}  -15.42{col 51}{space 3}0.000{col 59}{space 4}-36.40774{col 72}{space 3}-28.19419
{txt}{space 13}290  {c |}{col 19}{res}{space 2}  -84.772{col 31}{space 2} 3.973282{col 42}{space 1}  -21.34{col 51}{space 3}0.000{col 59}{space 4}-92.55949{col 72}{space 3}-76.98451
{txt}{space 13}300  {c |}{col 19}{res}{space 2} -32.4262{col 31}{space 2} 1.681353{col 42}{space 1}  -19.29{col 51}{space 3}0.000{col 59}{space 4} -35.7216{col 72}{space 3}-29.13081
{txt}{space 13}302  {c |}{col 19}{res}{space 2}-15.09386{col 31}{space 2} .7681827{col 42}{space 1}  -19.65{col 51}{space 3}0.000{col 59}{space 4}-16.59947{col 72}{space 3}-13.58825
{txt}{space 13}304  {c |}{col 19}{res}{space 2}-42.20742{col 31}{space 2} 2.150205{col 42}{space 1}  -19.63{col 51}{space 3}0.000{col 59}{space 4}-46.42175{col 72}{space 3} -37.9931
{txt}{space 13}310  {c |}{col 19}{res}{space 2}-45.41493{col 31}{space 2} 2.110347{col 42}{space 1}  -21.52{col 51}{space 3}0.000{col 59}{space 4}-49.55114{col 72}{space 3}-41.27873
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{txt}{space 13}336  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
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{txt}{space 13}348  {c |}{col 19}{res}{space 2}-42.47405{col 31}{space 2} 1.979379{col 42}{space 1}  -21.46{col 51}{space 3}0.000{col 59}{space 4}-46.35356{col 72}{space 3}-38.59453
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{txt}{space 13}357  {c |}{col 19}{res}{space 2} 119.3967{col 31}{space 2} 7.838805{col 42}{space 1}   15.23{col 51}{space 3}0.000{col 59}{space 4} 104.0329{col 72}{space 3} 134.7605
{txt}{space 13}362  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}398  {c |}{col 19}{res}{space 2}-19.57781{col 31}{space 2} 3.684761{col 42}{space 1}   -5.31{col 51}{space 3}0.000{col 59}{space 4} -26.7998{col 72}{space 3}-12.35581
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{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 429.4184{col 31}{space 2} 18.33375{col 42}{space 1}   23.42{col 51}{space 3}0.000{col 59}{space 4} 393.4849{col 72}{space 3} 465.3518
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}10,938{col 51}{txt}missing .:  {res}0{txt}/{res}12,866

{txt}{col 19}mean:{res}{col 26} 27358.8
{txt}{col 15}std. dev:{res}{col 26} 15971.4

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    5545{col 37}   13541{col 47} 26929.5{col 57}   41458{col 67}   49509

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}61{col 51}{txt}missing .:  {res}0{txt}/{res}12,866

{txt}{col 19}mean:{res}{col 26}  479.68
{txt}{col 15}std. dev:{res}{col 26} 224.723

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      95{col 37}     360{col 47}     452{col 57}     700{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}75{col 51}{txt}missing .:  {res}0{txt}/{res}12,866

{txt}{col 19}mean:{res}{col 26} 282.694
{txt}{col 15}std. dev:{res}{col 26} 139.146

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     203{col 47}     300{col 57}     395{col 67}     464
{txt}
{com}. 
. *** TSCS Models ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. *** Model 3 ***
. 
. logit major_frev $ind i.gwf_caseid if max_yr_t>3

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 144 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5674.4807}  
Iteration 1:{space 3}log likelihood = {res:-5445.9775}  
Iteration 2:{space 3}log likelihood = {res: -5229.407}  
Iteration 3:{space 3}log likelihood = {res: -5194.122}  
Iteration 4:{space 3}log likelihood = {res:-5193.0373}  
Iteration 5:{space 3}log likelihood = {res:-5193.0214}  
Iteration 6:{space 3}log likelihood = {res:-5193.0214}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,132
{txt}{col 49}LR chi2({res}78{txt}){col 67}= {res}    962.92
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5193.0214{txt}{col 49}Pseudo R2{col 67}= {res}    0.0848

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.164227{col 29}{space 2} .1586039{col 40}{space 1}    7.34{col 49}{space 3}0.000{col 57}{space 4} .8533688{col 70}{space 3} 1.475085
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.1372862{col 29}{space 2}  .014539{col 40}{space 1}   -9.44{col 49}{space 3}0.000{col 57}{space 4}-.1657821{col 70}{space 3}-.1087904
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .3593102{col 29}{space 2} .0889685{col 40}{space 1}    4.04{col 49}{space 3}0.000{col 57}{space 4} .1849352{col 70}{space 3} .5336852
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.2724053{col 29}{space 2}   .18074{col 40}{space 1}   -1.51{col 49}{space 3}0.132{col 57}{space 4}-.6266491{col 70}{space 3} .0818386
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}11  {c |}{col 17}{res}{space 2}-.5987399{col 29}{space 2} .5179148{col 40}{space 1}   -1.16{col 49}{space 3}0.248{col 57}{space 4}-1.613834{col 70}{space 3} .4163544
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{txt}{space 12}38  {c |}{col 17}{res}{space 2}-.7899219{col 29}{space 2} .6596172{col 40}{space 1}   -1.20{col 49}{space 3}0.231{col 57}{space 4}-2.082748{col 70}{space 3}  .502904
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-5.972171{col 29}{space 2} .3537418{col 40}{space 1}  -16.88{col 49}{space 3}0.000{col 57}{space 4}-6.665492{col 70}{space 3}-5.278849
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}10,959{col 51}{txt}missing .:  {res}0{txt}/{res}195,132

{txt}{col 19}mean:{res}{col 26} 27415.2
{txt}{col 15}std. dev:{res}{col 26} 15680.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6415{col 37}   14047{col 47}   26620{col 57}   41342{col 67}   49638

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}61{col 51}{txt}missing .:  {res}0{txt}/{res}195,132

{txt}{col 19}mean:{res}{col 26}  427.64
{txt}{col 15}std. dev:{res}{col 26} 238.016

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     616{col 67}     771

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}75{col 51}{txt}missing .:  {res}0{txt}/{res}195,132

{txt}{col 19}mean:{res}{col 26} 285.453
{txt}{col 15}std. dev:{res}{col 26} 134.373

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     304{col 57}     395{col 67}     436
{txt}
{com}. 
. *** Model 4 ***
. 
. logit major_frev $ind  $time i.gwf_caseid if max_yr_t>3

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5334.9533}  
Iteration 1:{space 3}log likelihood = {res:-4819.0568}  
Iteration 2:{space 3}log likelihood = {res:-4210.7351}  
Iteration 3:{space 3}log likelihood = {res:-3908.2092}  
Iteration 4:{space 3}log likelihood = {res:-3893.4289}  
Iteration 5:{space 3}log likelihood = {res:-3893.1617}  
Iteration 6:{space 3}log likelihood = {res:-3893.1614}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   190,576
{txt}{col 49}LR chi2({res}78{txt}){col 67}= {res}   2883.58
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3893.1614{txt}{col 49}Pseudo R2{col 67}= {res}    0.2703

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.188355{col 29}{space 2} .1705184{col 40}{space 1}    6.97{col 49}{space 3}0.000{col 57}{space 4} .8541449{col 70}{space 3} 1.522565
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.1012339{col 29}{space 2}  .014587{col 40}{space 1}   -6.94{col 49}{space 3}0.000{col 57}{space 4}-.1298239{col 70}{space 3} -.072644
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .3040109{col 29}{space 2} .0941722{col 40}{space 1}    3.23{col 49}{space 3}0.001{col 57}{space 4} .1194367{col 70}{space 3} .4885851
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.2841286{col 29}{space 2} .1931883{col 40}{space 1}   -1.47{col 49}{space 3}0.141{col 57}{space 4}-.6627707{col 70}{space 3} .0945136
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2}-.1224002{col 29}{space 2} .0152384{col 40}{space 1}   -8.03{col 49}{space 3}0.000{col 57}{space 4}-.1522668{col 70}{space 3}-.0925335
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.1687524{col 29}{space 2} .0082141{col 40}{space 1}  -20.54{col 49}{space 3}0.000{col 57}{space 4}-.1848519{col 70}{space 3} -.152653
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
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{txt}{space 12}69  {c |}{col 17}{res}{space 2} 1.532593{col 29}{space 2} .5533465{col 40}{space 1}    2.77{col 49}{space 3}0.006{col 57}{space 4}  .448054{col 70}{space 3} 2.617133
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{txt}{space 11}362  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
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{txt}{space 11}401  {c |}{col 17}{res}{space 2}-.9618331{col 29}{space 2} .8694678{col 40}{space 1}   -1.11{col 49}{space 3}0.269{col 57}{space 4}-2.665959{col 70}{space 3} .7422924
{txt}{space 11}409  {c |}{col 17}{res}{space 2} 2.054549{col 29}{space 2} .5364579{col 40}{space 1}    3.83{col 49}{space 3}0.000{col 57}{space 4} 1.003111{col 70}{space 3} 3.105987
{txt}{space 11}411  {c |}{col 17}{res}{space 2}-.8071621{col 29}{space 2}  .674248{col 40}{space 1}   -1.20{col 49}{space 3}0.231{col 57}{space 4}-2.128664{col 70}{space 3} .5143397
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{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-4.337424{col 29}{space 2}  .532606{col 40}{space 1}   -8.14{col 49}{space 3}0.000{col 57}{space 4}-5.381312{col 70}{space 3}-3.293535
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 3 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}10,692{col 51}{txt}missing .:  {res}0{txt}/{res}190,576

{txt}{col 19}mean:{res}{col 26} 27425.1
{txt}{col 15}std. dev:{res}{col 26} 15646.4

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6533{col 37}   14054{col 47}   26613{col 57}   41342{col 67}   49646

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}60{col 51}{txt}missing .:  {res}0{txt}/{res}190,576

{txt}{col 19}mean:{res}{col 26} 421.661
{txt}{col 15}std. dev:{res}{col 26} 237.098

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     770

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}73{col 51}{txt}missing .:  {res}0{txt}/{res}190,576

{txt}{col 19}mean:{res}{col 26} 287.243
{txt}{col 15}std. dev:{res}{col 26} 134.129

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     310{col 57}     398{col 67}     436
{txt}
{com}. 
. *** Model 5 ***
. 
. logit major_frev $ind female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid if max_yr_t>3

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-5332.4646}  
Iteration 1:{space 3}log likelihood = {res:-4769.2375}  
Iteration 2:{space 3}log likelihood = {res:-4181.4472}  
Iteration 3:{space 3}log likelihood = {res:-3893.7638}  
Iteration 4:{space 3}log likelihood = {res: -3876.006}  
Iteration 5:{space 3}log likelihood = {res:-3875.0964}  
Iteration 6:{space 3}log likelihood = {res:-3875.0921}  
Iteration 7:{space 3}log likelihood = {res:-3875.0921}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   190,006
{txt}{col 49}LR chi2({res}84{txt}){col 67}= {res}   2914.75
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3875.0921{txt}{col 49}Pseudo R2{col 67}= {res}    0.2733

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 1.177162{col 31}{space 2}   .17067{col 42}{space 1}    6.90{col 51}{space 3}0.000{col 59}{space 4} .8426548{col 72}{space 3} 1.511669
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.1009891{col 31}{space 2} .0145874{col 42}{space 1}   -6.92{col 51}{space 3}0.000{col 59}{space 4}-.1295799{col 72}{space 3}-.0723983
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .3069961{col 31}{space 2} .0946264{col 42}{space 1}    3.24{col 51}{space 3}0.001{col 59}{space 4} .1215318{col 72}{space 3} .4924604
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.2852639{col 31}{space 2} .1935831{col 42}{space 1}   -1.47{col 51}{space 3}0.141{col 59}{space 4}-.6646798{col 72}{space 3} .0941519
{txt}{space 11}female {c |}{col 19}{res}{space 2} .0621805{col 31}{space 2} .1409129{col 42}{space 1}    0.44{col 51}{space 3}0.659{col 59}{space 4}-.2140038{col 72}{space 3} .3383648
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2}-.7532177{col 31}{space 2} .2166059{col 42}{space 1}   -3.48{col 51}{space 3}0.001{col 59}{space 4}-1.177758{col 72}{space 3}-.3286779
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2} -.101438{col 31}{space 2} .2194866{col 42}{space 1}   -0.46{col 51}{space 3}0.644{col 59}{space 4}-.5316239{col 72}{space 3}  .328748
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-3.847631{col 31}{space 2} 2.599629{col 42}{space 1}   -1.48{col 51}{space 3}0.139{col 59}{space 4} -8.94281{col 72}{space 3} 1.247548
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2} -1.84083{col 31}{space 2} .7662371{col 42}{space 1}   -2.40{col 51}{space 3}0.016{col 59}{space 4}-3.342627{col 72}{space 3}-.3390331
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}-2.315419{col 31}{space 2}  .665287{col 42}{space 1}   -3.48{col 51}{space 3}0.001{col 59}{space 4}-3.619358{col 72}{space 3}-1.011481
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2} 1.733925{col 31}{space 2} .4413889{col 42}{space 1}    3.93{col 51}{space 3}0.000{col 59}{space 4} .8688185{col 72}{space 3} 2.599031
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-2.488899{col 31}{space 2} .6403107{col 42}{space 1}   -3.89{col 51}{space 3}0.000{col 59}{space 4}-3.743885{col 72}{space 3}-1.233913
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2}  .799318{col 31}{space 2} 1.133779{col 42}{space 1}    0.71{col 51}{space 3}0.481{col 59}{space 4}-1.422847{col 72}{space 3} 3.021483
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2}-.1696435{col 31}{space 2} .0320628{col 42}{space 1}   -5.29{col 51}{space 3}0.000{col 59}{space 4}-.2324854{col 72}{space 3}-.1068015
{txt}{space 4}yr_since_exit {c |}{col 19}{res}{space 2}-.1680283{col 31}{space 2} .0082065{col 42}{space 1}  -20.47{col 51}{space 3}0.000{col 59}{space 4}-.1841128{col 72}{space 3}-.1519438
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2}  .640809{col 31}{space 2} 1.821701{col 42}{space 1}    0.35{col 51}{space 3}0.725{col 59}{space 4} -2.92966{col 72}{space 3} 4.211278
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{space 14}36  {c |}{col 19}{res}{space 2} .4271232{col 31}{space 2} 1.377734{col 42}{space 1}    0.31{col 51}{space 3}0.757{col 59}{space 4}-2.273185{col 72}{space 3} 3.127432
{txt}{space 14}38  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}51  {c |}{col 19}{res}{space 2} 4.289015{col 31}{space 2} 2.255892{col 42}{space 1}    1.90{col 51}{space 3}0.057{col 59}{space 4}-.1324521{col 72}{space 3} 8.710483
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 3.287255{col 31}{space 2} 1.353532{col 42}{space 1}    2.43{col 51}{space 3}0.015{col 59}{space 4} .6343817{col 72}{space 3} 5.940129
{txt}{space 14}69  {c |}{col 19}{res}{space 2} .7085535{col 31}{space 2} 4.443235{col 42}{space 1}    0.16{col 51}{space 3}0.873{col 59}{space 4}-8.000027{col 72}{space 3} 9.417134
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-.7926001{col 31}{space 2} .9056304{col 42}{space 1}   -0.88{col 51}{space 3}0.381{col 59}{space 4}-2.567603{col 72}{space 3} .9824028
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{txt}{space 14}98  {c |}{col 19}{res}{space 2} 6.225815{col 31}{space 2} 1.426229{col 42}{space 1}    4.37{col 51}{space 3}0.000{col 59}{space 4} 3.430457{col 72}{space 3} 9.021173
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2} 3.308243{col 31}{space 2} 2.123473{col 42}{space 1}    1.56{col 51}{space 3}0.119{col 59}{space 4}-.8536881{col 72}{space 3} 7.470173
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{txt}{space 13}147  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2} 1.303341{col 31}{space 2} 1.576787{col 42}{space 1}    0.83{col 51}{space 3}0.408{col 59}{space 4}-1.787105{col 72}{space 3} 4.393787
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{txt}{space 13}174  {c |}{col 19}{res}{space 2} .2083588{col 31}{space 2} 2.497961{col 42}{space 1}    0.08{col 51}{space 3}0.934{col 59}{space 4}-4.687555{col 72}{space 3} 5.104272
{txt}{space 13}184  {c |}{col 19}{res}{space 2} .3956446{col 31}{space 2} .8877916{col 42}{space 1}    0.45{col 51}{space 3}0.656{col 59}{space 4}-1.344395{col 72}{space 3} 2.135684
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}219  {c |}{col 19}{res}{space 2} 2.720398{col 31}{space 2} 1.598189{col 42}{space 1}    1.70{col 51}{space 3}0.089{col 59}{space 4}-.4119941{col 72}{space 3} 5.852791
{txt}{space 13}222  {c |}{col 19}{res}{space 2} 2.943963{col 31}{space 2} 1.642823{col 42}{space 1}    1.79{col 51}{space 3}0.073{col 59}{space 4}-.2759107{col 72}{space 3} 6.163837
{txt}{space 13}229  {c |}{col 19}{res}{space 2} 4.343214{col 31}{space 2} 1.181755{col 42}{space 1}    3.68{col 51}{space 3}0.000{col 59}{space 4} 2.027016{col 72}{space 3} 6.659411
{txt}{space 13}232  {c |}{col 19}{res}{space 2}-1.166485{col 31}{space 2} .7661996{col 42}{space 1}   -1.52{col 51}{space 3}0.128{col 59}{space 4}-2.668209{col 72}{space 3} .3352387
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{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-23.44181{col 31}{space 2}  12.7422{col 42}{space 1}   -1.84{col 51}{space 3}0.066{col 59}{space 4}-48.41607{col 72}{space 3} 1.532437
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}10,671{col 51}{txt}missing .:  {res}0{txt}/{res}190,006

{txt}{col 19}mean:{res}{col 26} 27423.7
{txt}{col 15}std. dev:{res}{col 26}   15646

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6518{col 37}   14060{col 47}   26610{col 57}   41342{col 67}   49638

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}60{col 51}{txt}missing .:  {res}0{txt}/{res}190,006

{txt}{col 19}mean:{res}{col 26} 421.188
{txt}{col 15}std. dev:{res}{col 26}  237.16

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     770

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}73{col 51}{txt}missing .:  {res}0{txt}/{res}190,006

{txt}{col 19}mean:{res}{col 26} 286.853
{txt}{col 15}std. dev:{res}{col 26} 134.065

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     304{col 57}     395{col 67}     436
{txt}
{com}. 
. 
. 
. *** Table A19 ***
. 
. use "Data_Table A19_CS.dta", clear
{txt}
{com}. *** Model 1 ***
. 
. logit major_frev $ind i.ccode

{txt}note: 160.ccode != 0 predicts failure perfectly
      160.ccode dropped and 140 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3733.8234}  
Iteration 1:{space 3}log likelihood = {res:-3468.6119}  
Iteration 2:{space 3}log likelihood = {res:-3293.5116}  
Iteration 3:{space 3}log likelihood = {res:-3288.0064}  
Iteration 4:{space 3}log likelihood = {res:-3287.8336}  
Iteration 5:{space 3}log likelihood = {res:-3287.8328}  
Iteration 6:{space 3}log likelihood = {res:-3287.8328}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    14,492
{txt}{col 49}LR chi2({res}58{txt}){col 67}= {res}    891.98
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-3287.8328{txt}{col 49}Pseudo R2{col 67}= {res}    0.1194

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.533684{col 29}{space 2} .1666671{col 40}{space 1}    9.20{col 49}{space 3}0.000{col 57}{space 4} 1.207022{col 70}{space 3} 1.860345
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{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .2945557{col 29}{space 2} .0911602{col 40}{space 1}    3.23{col 49}{space 3}0.001{col 57}{space 4}  .115885{col 70}{space 3} .4732264
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{txt}{space 15} {c |}
{space 10}ccode {c |}
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{txt}{space 12}92  {c |}{col 17}{res}{space 2}-2.163903{col 29}{space 2} .4596058{col 40}{space 1}   -4.71{col 49}{space 3}0.000{col 57}{space 4}-3.064714{col 70}{space 3}-1.263092
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{txt}{space 11}436  {c |}{col 17}{res}{space 2} -2.23209{col 29}{space 2} .2798483{col 40}{space 1}   -7.98{col 49}{space 3}0.000{col 57}{space 4}-2.780582{col 70}{space 3}-1.683597
{txt}{space 11}437  {c |}{col 17}{res}{space 2}-.5278964{col 29}{space 2} .2711571{col 40}{space 1}   -1.95{col 49}{space 3}0.052{col 57}{space 4}-1.059354{col 70}{space 3} .0035617
{txt}{space 11}439  {c |}{col 17}{res}{space 2}-1.252804{col 29}{space 2} .2656106{col 40}{space 1}   -4.72{col 49}{space 3}0.000{col 57}{space 4}-1.773392{col 70}{space 3}-.7322172
{txt}{space 11}450  {c |}{col 17}{res}{space 2}-1.950145{col 29}{space 2} .3779497{col 40}{space 1}   -5.16{col 49}{space 3}0.000{col 57}{space 4}-2.690913{col 70}{space 3}-1.209378
{txt}{space 11}451  {c |}{col 17}{res}{space 2} -.650166{col 29}{space 2} .2675546{col 40}{space 1}   -2.43{col 49}{space 3}0.015{col 57}{space 4}-1.174563{col 70}{space 3}-.1257685
{txt}{space 11}452  {c |}{col 17}{res}{space 2}-1.935261{col 29}{space 2} .2934385{col 40}{space 1}   -6.60{col 49}{space 3}0.000{col 57}{space 4} -2.51039{col 70}{space 3}-1.360133
{txt}{space 11}475  {c |}{col 17}{res}{space 2}-1.837257{col 29}{space 2} .2901264{col 40}{space 1}   -6.33{col 49}{space 3}0.000{col 57}{space 4}-2.405894{col 70}{space 3} -1.26862
{txt}{space 11}501  {c |}{col 17}{res}{space 2}-2.214771{col 29}{space 2} .4954273{col 40}{space 1}   -4.47{col 49}{space 3}0.000{col 57}{space 4}-3.185791{col 70}{space 3}-1.243752
{txt}{space 11}551  {c |}{col 17}{res}{space 2}-1.466649{col 29}{space 2} .2887868{col 40}{space 1}   -5.08{col 49}{space 3}0.000{col 57}{space 4} -2.03266{col 70}{space 3}-.9006369
{txt}{space 11}553  {c |}{col 17}{res}{space 2}   .15264{col 29}{space 2} .2578844{col 40}{space 1}    0.59{col 49}{space 3}0.554{col 57}{space 4}-.3528042{col 70}{space 3} .6580841
{txt}{space 11}560  {c |}{col 17}{res}{space 2} .0355306{col 29}{space 2} .2938697{col 40}{space 1}    0.12{col 49}{space 3}0.904{col 57}{space 4}-.5404434{col 70}{space 3} .6115046
{txt}{space 11}570  {c |}{col 17}{res}{space 2}-1.109291{col 29}{space 2} .3276243{col 40}{space 1}   -3.39{col 49}{space 3}0.001{col 57}{space 4}-1.751423{col 70}{space 3}-.4671591
{txt}{space 11}580  {c |}{col 17}{res}{space 2}-.7358151{col 29}{space 2} .3381765{col 40}{space 1}   -2.18{col 49}{space 3}0.030{col 57}{space 4}-1.398629{col 70}{space 3}-.0730013
{txt}{space 11}616  {c |}{col 17}{res}{space 2}-1.862888{col 29}{space 2} .3936763{col 40}{space 1}   -4.73{col 49}{space 3}0.000{col 57}{space 4}-2.634479{col 70}{space 3}-1.091296
{txt}{space 11}640  {c |}{col 17}{res}{space 2} .3428998{col 29}{space 2} .2782996{col 40}{space 1}    1.23{col 49}{space 3}0.218{col 57}{space 4}-.2025573{col 70}{space 3}  .888357
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{txt}{space 11}732  {c |}{col 17}{res}{space 2}-1.936957{col 29}{space 2} .3937979{col 40}{space 1}   -4.92{col 49}{space 3}0.000{col 57}{space 4}-2.708787{col 70}{space 3}-1.165128
{txt}{space 11}771  {c |}{col 17}{res}{space 2}-.7510789{col 29}{space 2} .3004807{col 40}{space 1}   -2.50{col 49}{space 3}0.012{col 57}{space 4} -1.34001{col 70}{space 3}-.1621475
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{txt}{space 11}790  {c |}{col 17}{res}{space 2}-1.242178{col 29}{space 2} .2784992{col 40}{space 1}   -4.46{col 49}{space 3}0.000{col 57}{space 4}-1.788026{col 70}{space 3}-.6963293
{txt}{space 11}800  {c |}{col 17}{res}{space 2}-.8815218{col 29}{space 2} .2746214{col 40}{space 1}   -3.21{col 49}{space 3}0.001{col 57}{space 4} -1.41977{col 70}{space 3}-.3432738
{txt}{space 11}840  {c |}{col 17}{res}{space 2}  .076578{col 29}{space 2} .2703058{col 40}{space 1}    0.28{col 49}{space 3}0.777{col 57}{space 4}-.4532116{col 70}{space 3} .6063676
{txt}{space 11}850  {c |}{col 17}{res}{space 2}-.5381475{col 29}{space 2} .2650641{col 40}{space 1}   -2.03{col 49}{space 3}0.042{col 57}{space 4}-1.057663{col 70}{space 3}-.0186315
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-2.615665{col 29}{space 2} .2574908{col 40}{space 1}  -10.16{col 49}{space 3}0.000{col 57}{space 4}-3.120338{col 70}{space 3}-2.110992
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode  if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}10,723{col 51}{txt}missing .:  {res}0{txt}/{res}14,492

{txt}{col 19}mean:{res}{col 26} 27581.9
{txt}{col 15}std. dev:{res}{col 26} 15943.2

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6433{col 37}   13687{col 47}   26820{col 57}   41748{col 67}   49977

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}42{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}55{col 51}{txt}missing .:  {res}0{txt}/{res}14,492

{txt}{col 19}mean:{res}{col 26} 439.983
{txt}{col 15}std. dev:{res}{col 26} 213.136

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     135{col 37}     345{col 47}     436{col 57}     553{col 67}     780
{txt}
{com}. 
. *** Model 2 ***
. 
. logit major_frev $ind female dem_const coldwar $pre $macro i.ccode

{txt}note: 160.ccode != 0 predicts failure perfectly
      160.ccode dropped and 139 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3731.4448}  
Iteration 1:{space 3}log likelihood = {res:-3205.1067}  
Iteration 2:{space 3}log likelihood = {res:-3149.0983}  (backed up)
Iteration 3:{space 3}log likelihood = {res:-2718.5865}  
Iteration 4:{space 3}log likelihood = {res:-2611.8552}  
Iteration 5:{space 3}log likelihood = {res:-2589.6557}  
Iteration 6:{space 3}log likelihood = {res:-2588.8154}  
Iteration 7:{space 3}log likelihood = {res:-2588.8134}  
Iteration 8:{space 3}log likelihood = {res:-2588.8134}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    14,460
{txt}{col 49}LR chi2({res}67{txt}){col 67}= {res}   2285.26
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2588.8134{txt}{col 49}Pseudo R2{col 67}= {res}    0.3062

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 1.988781{col 31}{space 2} .1942337{col 42}{space 1}   10.24{col 51}{space 3}0.000{col 59}{space 4}  1.60809{col 72}{space 3} 2.369472
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.0430502{col 31}{space 2} .0123716{col 42}{space 1}   -3.48{col 51}{space 3}0.001{col 59}{space 4}-.0672981{col 72}{space 3}-.0188022
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .3508794{col 31}{space 2}  .103062{col 42}{space 1}    3.40{col 51}{space 3}0.001{col 59}{space 4} .1488816{col 72}{space 3} .5528772
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.3393996{col 31}{space 2} .1935774{col 42}{space 1}   -1.75{col 51}{space 3}0.080{col 59}{space 4}-.7188043{col 72}{space 3} .0400051
{txt}{space 11}female {c |}{col 19}{res}{space 2} .5325094{col 31}{space 2} .1495451{col 42}{space 1}    3.56{col 51}{space 3}0.000{col 59}{space 4} .2394063{col 72}{space 3} .8256124
{txt}{space 8}dem_const {c |}{col 19}{res}{space 2}-3.022849{col 31}{space 2} .3528413{col 42}{space 1}   -8.57{col 51}{space 3}0.000{col 59}{space 4}-3.714406{col 72}{space 3}-2.331293
{txt}{space 10}coldwar {c |}{col 19}{res}{space 2} .8357859{col 31}{space 2} .3024976{col 42}{space 1}    2.76{col 51}{space 3}0.006{col 59}{space 4} .2429016{col 72}{space 3}  1.42867
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-7.835407{col 31}{space 2} .6463429{col 42}{space 1}  -12.12{col 51}{space 3}0.000{col 59}{space 4}-9.102216{col 72}{space 3}-6.568598
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-4.030476{col 31}{space 2} .3147829{col 42}{space 1}  -12.80{col 51}{space 3}0.000{col 59}{space 4}-4.647439{col 72}{space 3}-3.413513
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}-3.920477{col 31}{space 2} .5152496{col 42}{space 1}   -7.61{col 51}{space 3}0.000{col 59}{space 4}-4.930348{col 72}{space 3}-2.910607
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}-2.049079{col 31}{space 2} .2908528{col 42}{space 1}   -7.05{col 51}{space 3}0.000{col 59}{space 4} -2.61914{col 72}{space 3}-1.479018
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-.3177255{col 31}{space 2} 1.222621{col 42}{space 1}   -0.26{col 51}{space 3}0.795{col 59}{space 4}-2.714019{col 72}{space 3} 2.078568
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2}-10.74425{col 31}{space 2} .8111001{col 42}{space 1}  -13.25{col 51}{space 3}0.000{col 59}{space 4}-12.33397{col 72}{space 3} -9.15452
{txt}{space 17} {c |}
{space 12}ccode {c |}
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{txt}{space 14}90  {c |}{col 19}{res}{space 2} 4.015814{col 31}{space 2}  1.07801{col 42}{space 1}    3.73{col 51}{space 3}0.000{col 59}{space 4} 1.902953{col 72}{space 3} 6.128675
{txt}{space 14}91  {c |}{col 19}{res}{space 2}-1.096238{col 31}{space 2} .6190041{col 42}{space 1}   -1.77{col 51}{space 3}0.077{col 59}{space 4}-2.309464{col 72}{space 3} .1169876
{txt}{space 14}92  {c |}{col 19}{res}{space 2}-4.252013{col 31}{space 2} .7325645{col 42}{space 1}   -5.80{col 51}{space 3}0.000{col 59}{space 4}-5.687813{col 72}{space 3}-2.816213
{txt}{space 14}93  {c |}{col 19}{res}{space 2}-15.79044{col 31}{space 2} .9714532{col 42}{space 1}  -16.25{col 51}{space 3}0.000{col 59}{space 4}-17.69445{col 72}{space 3}-13.88642
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{txt}{space 13}160  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
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{txt}{space 13}339  {c |}{col 19}{res}{space 2} -10.4103{col 31}{space 2} .9826059{col 42}{space 1}  -10.59{col 51}{space 3}0.000{col 59}{space 4}-12.33617{col 72}{space 3}-8.484426
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{txt}{space 13}371  {c |}{col 19}{res}{space 2}-15.69278{col 31}{space 2} 1.045321{col 42}{space 1}  -15.01{col 51}{space 3}0.000{col 59}{space 4}-17.74157{col 72}{space 3}-13.64399
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{txt}{space 13}616  {c |}{col 19}{res}{space 2} 2.600069{col 31}{space 2} .8126153{col 42}{space 1}    3.20{col 51}{space 3}0.001{col 59}{space 4} 1.007372{col 72}{space 3} 4.192766
{txt}{space 13}640  {c |}{col 19}{res}{space 2} 23.68721{col 31}{space 2} 1.990269{col 42}{space 1}   11.90{col 51}{space 3}0.000{col 59}{space 4} 19.78635{col 72}{space 3} 27.58806
{txt}{space 13}712  {c |}{col 19}{res}{space 2}  -20.073{col 31}{space 2} 1.107802{col 42}{space 1}  -18.12{col 51}{space 3}0.000{col 59}{space 4}-22.24425{col 72}{space 3}-17.90175
{txt}{space 13}713  {c |}{col 19}{res}{space 2} 8.110732{col 31}{space 2} 1.112589{col 42}{space 1}    7.29{col 51}{space 3}0.000{col 59}{space 4} 5.930098{col 72}{space 3} 10.29136
{txt}{space 13}732  {c |}{col 19}{res}{space 2} 20.12354{col 31}{space 2} 1.774341{col 42}{space 1}   11.34{col 51}{space 3}0.000{col 59}{space 4}  16.6459{col 72}{space 3} 23.60119
{txt}{space 13}771  {c |}{col 19}{res}{space 2} 21.70882{col 31}{space 2}  2.49128{col 42}{space 1}    8.71{col 51}{space 3}0.000{col 59}{space 4}   16.826{col 72}{space 3} 26.59164
{txt}{space 13}780  {c |}{col 19}{res}{space 2} 6.873132{col 31}{space 2} 1.138137{col 42}{space 1}    6.04{col 51}{space 3}0.000{col 59}{space 4} 4.642425{col 72}{space 3} 9.103839
{txt}{space 13}790  {c |}{col 19}{res}{space 2} 6.152175{col 31}{space 2} 1.377937{col 42}{space 1}    4.46{col 51}{space 3}0.000{col 59}{space 4} 3.451469{col 72}{space 3} 8.852882
{txt}{space 13}800  {c |}{col 19}{res}{space 2} 25.42839{col 31}{space 2} 1.992327{col 42}{space 1}   12.76{col 51}{space 3}0.000{col 59}{space 4}  21.5235{col 72}{space 3} 29.33328
{txt}{space 13}840  {c |}{col 19}{res}{space 2} 23.37346{col 31}{space 2} 1.921183{col 42}{space 1}   12.17{col 51}{space 3}0.000{col 59}{space 4} 19.60801{col 72}{space 3} 27.13891
{txt}{space 13}850  {c |}{col 19}{res}{space 2} 30.64565{col 31}{space 2} 2.951194{col 42}{space 1}   10.38{col 51}{space 3}0.000{col 59}{space 4} 24.86142{col 72}{space 3} 36.42989
{txt}{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}  118.465{col 31}{space 2} 6.490599{col 42}{space 1}   18.25{col 51}{space 3}0.000{col 59}{space 4} 105.7436{col 72}{space 3} 131.1863
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode  if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}10,702{col 51}{txt}missing .:  {res}0{txt}/{res}14,460

{txt}{col 19}mean:{res}{col 26} 27582.8
{txt}{col 15}std. dev:{res}{col 26} 15943.7

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}  6431.5{col 37}   13691{col 47}   26820{col 57}   41748{col 67}   49977

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}42{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}55{col 51}{txt}missing .:  {res}0{txt}/{res}14,460

{txt}{col 19}mean:{res}{col 26} 439.824
{txt}{col 15}std. dev:{res}{col 26} 213.257

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     135{col 37}     345{col 47}     436{col 57}     553{col 67}     780
{txt}
{com}. 
. 
. *** TSCS Models ***
. use "Data_Table A19.dta", clear
{txt}
{com}. 
. *** Model 3 ***
. 
. logit major_frev $ind i.ccode

{txt}note: 160.ccode != 0 predicts failure perfectly
      160.ccode dropped and 5180 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6402.1222}  
Iteration 1:{space 3}log likelihood = {res:-6396.0753}  
Iteration 2:{space 3}log likelihood = {res:-5745.4583}  
Iteration 3:{space 3}log likelihood = {res:-5727.6729}  
Iteration 4:{space 3}log likelihood = {res:-5727.2959}  
Iteration 5:{space 3}log likelihood = {res:-5727.2937}  
Iteration 6:{space 3}log likelihood = {res:-5727.2937}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   174,803
{txt}{col 49}LR chi2({res}58{txt}){col 67}= {res}   1349.66
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-5727.2937{txt}{col 49}Pseudo R2{col 67}= {res}    0.1054

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.405603{col 29}{space 2} .1617144{col 40}{space 1}    8.69{col 49}{space 3}0.000{col 57}{space 4} 1.088649{col 70}{space 3} 1.722558
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.0679646{col 29}{space 2} .0114095{col 40}{space 1}   -5.96{col 49}{space 3}0.000{col 57}{space 4}-.0903269{col 70}{space 3}-.0456023
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2}  .281371{col 29}{space 2} .0848908{col 40}{space 1}    3.31{col 49}{space 3}0.001{col 57}{space 4} .1149882{col 70}{space 3} .4477538
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.2036395{col 29}{space 2} .1570363{col 40}{space 1}   -1.30{col 49}{space 3}0.195{col 57}{space 4}-.5114249{col 70}{space 3} .1041459
{txt}{space 15} {c |}
{space 10}ccode {c |}
{space 12}70  {c |}{col 17}{res}{space 2}-.5774558{col 29}{space 2} .2903116{col 40}{space 1}   -1.99{col 49}{space 3}0.047{col 57}{space 4}-1.146456{col 70}{space 3}-.0084555
{txt}{space 12}90  {c |}{col 17}{res}{space 2}-2.180655{col 29}{space 2} .4779582{col 40}{space 1}   -4.56{col 49}{space 3}0.000{col 57}{space 4}-3.117436{col 70}{space 3}-1.243875
{txt}{space 12}91  {c |}{col 17}{res}{space 2} -.868656{col 29}{space 2} .3587721{col 40}{space 1}   -2.42{col 49}{space 3}0.015{col 57}{space 4}-1.571836{col 70}{space 3}-.1654755
{txt}{space 12}92  {c |}{col 17}{res}{space 2}-1.875133{col 29}{space 2}  .441663{col 40}{space 1}   -4.25{col 49}{space 3}0.000{col 57}{space 4}-2.740776{col 70}{space 3}-1.009489
{txt}{space 12}93  {c |}{col 17}{res}{space 2}-1.781562{col 29}{space 2} .6018993{col 40}{space 1}   -2.96{col 49}{space 3}0.003{col 57}{space 4}-2.961263{col 70}{space 3}-.6018609
{txt}{space 12}95  {c |}{col 17}{res}{space 2}-.7713766{col 29}{space 2} .2954284{col 40}{space 1}   -2.61{col 49}{space 3}0.009{col 57}{space 4}-1.350406{col 70}{space 3}-.1923476
{txt}{space 11}130  {c |}{col 17}{res}{space 2}-2.018417{col 29}{space 2} .4418995{col 40}{space 1}   -4.57{col 49}{space 3}0.000{col 57}{space 4}-2.884525{col 70}{space 3} -1.15231
{txt}{space 11}135  {c |}{col 17}{res}{space 2}-1.390938{col 29}{space 2} .3344786{col 40}{space 1}   -4.16{col 49}{space 3}0.000{col 57}{space 4}-2.046504{col 70}{space 3}-.7353718
{txt}{space 11}140  {c |}{col 17}{res}{space 2}-.1853267{col 29}{space 2} .2511323{col 40}{space 1}   -0.74{col 49}{space 3}0.461{col 57}{space 4}-.6775369{col 70}{space 3} .3068835
{txt}{space 11}145  {c |}{col 17}{res}{space 2}-1.965547{col 29}{space 2} .3341348{col 40}{space 1}   -5.88{col 49}{space 3}0.000{col 57}{space 4}-2.620439{col 70}{space 3}-1.310655
{txt}{space 11}150  {c |}{col 17}{res}{space 2} .4400887{col 29}{space 2} .3378973{col 40}{space 1}    1.30{col 49}{space 3}0.193{col 57}{space 4}-.2221777{col 70}{space 3} 1.102355
{txt}{space 11}155  {c |}{col 17}{res}{space 2}-3.789993{col 29}{space 2} 1.014092{col 40}{space 1}   -3.74{col 49}{space 3}0.000{col 57}{space 4}-5.777576{col 70}{space 3}-1.802409
{txt}{space 11}160  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}165  {c |}{col 17}{res}{space 2}-2.464718{col 29}{space 2} .7270747{col 40}{space 1}   -3.39{col 49}{space 3}0.001{col 57}{space 4}-3.889758{col 70}{space 3}-1.039678
{txt}{space 11}230  {c |}{col 17}{res}{space 2}-1.036097{col 29}{space 2} .3245909{col 40}{space 1}   -3.19{col 49}{space 3}0.001{col 57}{space 4}-1.672283{col 70}{space 3}  -.39991
{txt}{space 11}235  {c |}{col 17}{res}{space 2}-1.440697{col 29}{space 2} .4139543{col 40}{space 1}   -3.48{col 49}{space 3}0.001{col 57}{space 4}-2.252032{col 70}{space 3}-.6293613
{txt}{space 11}290  {c |}{col 17}{res}{space 2} -3.00694{col 29}{space 2} .6015893{col 40}{space 1}   -5.00{col 49}{space 3}0.000{col 57}{space 4}-4.186033{col 70}{space 3}-1.827846
{txt}{space 11}310  {c |}{col 17}{res}{space 2} -2.13679{col 29}{space 2} .6020542{col 40}{space 1}   -3.55{col 49}{space 3}0.000{col 57}{space 4}-3.316795{col 70}{space 3}-.9567858
{txt}{space 11}339  {c |}{col 17}{res}{space 2} .1444347{col 29}{space 2} .2539712{col 40}{space 1}    0.57{col 49}{space 3}0.570{col 57}{space 4}-.3533398{col 70}{space 3} .6422091
{txt}{space 11}345  {c |}{col 17}{res}{space 2}-2.296915{col 29}{space 2} .4780129{col 40}{space 1}   -4.81{col 49}{space 3}0.000{col 57}{space 4}-3.233803{col 70}{space 3}-1.360027
{txt}{space 11}350  {c |}{col 17}{res}{space 2}-3.370049{col 29}{space 2} .7269188{col 40}{space 1}   -4.64{col 49}{space 3}0.000{col 57}{space 4}-4.794783{col 70}{space 3}-1.945314
{txt}{space 11}355  {c |}{col 17}{res}{space 2}-1.518963{col 29}{space 2} .4797943{col 40}{space 1}   -3.17{col 49}{space 3}0.002{col 57}{space 4}-2.459343{col 70}{space 3}-.5785834
{txt}{space 11}360  {c |}{col 17}{res}{space 2}-3.271155{col 29}{space 2}  .727288{col 40}{space 1}   -4.50{col 49}{space 3}0.000{col 57}{space 4}-4.696613{col 70}{space 3}-1.845696
{txt}{space 11}369  {c |}{col 17}{res}{space 2} 1.885152{col 29}{space 2} .2155834{col 40}{space 1}    8.74{col 49}{space 3}0.000{col 57}{space 4} 1.462617{col 70}{space 3} 2.307688
{txt}{space 11}371  {c |}{col 17}{res}{space 2} .0678884{col 29}{space 2} .4800018{col 40}{space 1}    0.14{col 49}{space 3}0.888{col 57}{space 4}-.8728978{col 70}{space 3} 1.008675
{txt}{space 11}372  {c |}{col 17}{res}{space 2} .4376675{col 29}{space 2}  .272877{col 40}{space 1}    1.60{col 49}{space 3}0.109{col 57}{space 4}-.0971615{col 70}{space 3} .9724966
{txt}{space 11}404  {c |}{col 17}{res}{space 2} 1.108172{col 29}{space 2} .2741664{col 40}{space 1}    4.04{col 49}{space 3}0.000{col 57}{space 4} .5708153{col 70}{space 3} 1.645528
{txt}{space 11}420  {c |}{col 17}{res}{space 2} -.630423{col 29}{space 2} .6029774{col 40}{space 1}   -1.05{col 49}{space 3}0.296{col 57}{space 4}-1.812237{col 70}{space 3}  .551391
{txt}{space 11}432  {c |}{col 17}{res}{space 2}-.1816536{col 29}{space 2} .2803829{col 40}{space 1}   -0.65{col 49}{space 3}0.517{col 57}{space 4}-.7311939{col 70}{space 3} .3678868
{txt}{space 11}433  {c |}{col 17}{res}{space 2}-.0395089{col 29}{space 2} .2772568{col 40}{space 1}   -0.14{col 49}{space 3}0.887{col 57}{space 4}-.5829223{col 70}{space 3} .5039045
{txt}{space 11}434  {c |}{col 17}{res}{space 2}-.5743658{col 29}{space 2} .3019161{col 40}{space 1}   -1.90{col 49}{space 3}0.057{col 57}{space 4}-1.166111{col 70}{space 3}  .017379
{txt}{space 11}436  {c |}{col 17}{res}{space 2}-.4466036{col 29}{space 2}  .258612{col 40}{space 1}   -1.73{col 49}{space 3}0.084{col 57}{space 4}-.9534738{col 70}{space 3} .0602665
{txt}{space 11}437  {c |}{col 17}{res}{space 2} 1.441001{col 29}{space 2} .2438598{col 40}{space 1}    5.91{col 49}{space 3}0.000{col 57}{space 4} .9630446{col 70}{space 3} 1.918957
{txt}{space 11}439  {c |}{col 17}{res}{space 2}-.2836375{col 29}{space 2} .2404544{col 40}{space 1}   -1.18{col 49}{space 3}0.238{col 57}{space 4}-.7549196{col 70}{space 3} .1876445
{txt}{space 11}450  {c |}{col 17}{res}{space 2}-1.302753{col 29}{space 2} .3584894{col 40}{space 1}   -3.63{col 49}{space 3}0.000{col 57}{space 4} -2.00538{col 70}{space 3} -.600127
{txt}{space 11}451  {c |}{col 17}{res}{space 2}-.0262829{col 29}{space 2} .2342962{col 40}{space 1}   -0.11{col 49}{space 3}0.911{col 57}{space 4} -.485495{col 70}{space 3} .4329292
{txt}{space 11}452  {c |}{col 17}{res}{space 2}-1.111923{col 29}{space 2} .2717863{col 40}{space 1}   -4.09{col 49}{space 3}0.000{col 57}{space 4}-1.644615{col 70}{space 3}-.5792319
{txt}{space 11}475  {c |}{col 17}{res}{space 2}-.6817413{col 29}{space 2} .2681024{col 40}{space 1}   -2.54{col 49}{space 3}0.011{col 57}{space 4}-1.207212{col 70}{space 3}-.1562703
{txt}{space 11}501  {c |}{col 17}{res}{space 2}-.2250993{col 29}{space 2} .4803813{col 40}{space 1}   -0.47{col 49}{space 3}0.639{col 57}{space 4}-1.166629{col 70}{space 3} .7164308
{txt}{space 11}551  {c |}{col 17}{res}{space 2} .6404751{col 29}{space 2} .2669237{col 40}{space 1}    2.40{col 49}{space 3}0.016{col 57}{space 4} .1173143{col 70}{space 3} 1.163636
{txt}{space 11}553  {c |}{col 17}{res}{space 2} 1.179725{col 29}{space 2} .2197379{col 40}{space 1}    5.37{col 49}{space 3}0.000{col 57}{space 4} .7490462{col 70}{space 3} 1.610403
{txt}{space 11}560  {c |}{col 17}{res}{space 2} .1596127{col 29}{space 2} .2582203{col 40}{space 1}    0.62{col 49}{space 3}0.536{col 57}{space 4}-.3464898{col 70}{space 3} .6657151
{txt}{space 11}570  {c |}{col 17}{res}{space 2}-.0879119{col 29}{space 2} .3025436{col 40}{space 1}   -0.29{col 49}{space 3}0.771{col 57}{space 4}-.6808864{col 70}{space 3} .5050627
{txt}{space 11}580  {c |}{col 17}{res}{space 2} .6602081{col 29}{space 2} .3106006{col 40}{space 1}    2.13{col 49}{space 3}0.034{col 57}{space 4} .0514421{col 70}{space 3} 1.268974
{txt}{space 11}616  {c |}{col 17}{res}{space 2}-.7041861{col 29}{space 2} .3745063{col 40}{space 1}   -1.88{col 49}{space 3}0.060{col 57}{space 4}-1.438205{col 70}{space 3} .0298327
{txt}{space 11}640  {c |}{col 17}{res}{space 2} .5118601{col 29}{space 2} .2358756{col 40}{space 1}    2.17{col 49}{space 3}0.030{col 57}{space 4} .0495523{col 70}{space 3} .9741679
{txt}{space 11}712  {c |}{col 17}{res}{space 2}-.9057965{col 29}{space 2} .3601069{col 40}{space 1}   -2.52{col 49}{space 3}0.012{col 57}{space 4}-1.611593{col 70}{space 3}      -.2
{txt}{space 11}713  {c |}{col 17}{res}{space 2}-.2220585{col 29}{space 2} .2917418{col 40}{space 1}   -0.76{col 49}{space 3}0.447{col 57}{space 4}-.7938619{col 70}{space 3} .3497448
{txt}{space 11}732  {c |}{col 17}{res}{space 2}-2.081397{col 29}{space 2} .3733823{col 40}{space 1}   -5.57{col 49}{space 3}0.000{col 57}{space 4}-2.813213{col 70}{space 3}-1.349581
{txt}{space 11}771  {c |}{col 17}{res}{space 2} .2794513{col 29}{space 2} .2729614{col 40}{space 1}    1.02{col 49}{space 3}0.306{col 57}{space 4}-.2555432{col 70}{space 3} .8144457
{txt}{space 11}780  {c |}{col 17}{res}{space 2} 1.984831{col 29}{space 2} .2076733{col 40}{space 1}    9.56{col 49}{space 3}0.000{col 57}{space 4} 1.577799{col 70}{space 3} 2.391864
{txt}{space 11}790  {c |}{col 17}{res}{space 2}  .137103{col 29}{space 2} .2535505{col 40}{space 1}    0.54{col 49}{space 3}0.589{col 57}{space 4}-.3598468{col 70}{space 3} .6340527
{txt}{space 11}800  {c |}{col 17}{res}{space 2} .3674522{col 29}{space 2} .2486359{col 40}{space 1}    1.48{col 49}{space 3}0.139{col 57}{space 4}-.1198652{col 70}{space 3} .8547696
{txt}{space 11}840  {c |}{col 17}{res}{space 2} .5390823{col 29}{space 2} .2340492{col 40}{space 1}    2.30{col 49}{space 3}0.021{col 57}{space 4} .0803543{col 70}{space 3} .9978103
{txt}{space 11}850  {c |}{col 17}{res}{space 2} .4935495{col 29}{space 2} .2380749{col 40}{space 1}    2.07{col 49}{space 3}0.038{col 57}{space 4} .0269312{col 70}{space 3} .9601678
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-5.828289{col 29}{space 2} .2333023{col 40}{space 1}  -24.98{col 49}{space 3}0.000{col 57}{space 4}-6.285553{col 70}{space 3}-5.371025
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode  if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}10,723{col 51}{txt}missing .:  {res}0{txt}/{res}174,803

{txt}{col 19}mean:{res}{col 26} 27250.1
{txt}{col 15}std. dev:{res}{col 26} 15562.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6702{col 37}   14046{col 47}   26293{col 57}   41240{col 67}   49598

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}42{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}55{col 51}{txt}missing .:  {res}0{txt}/{res}174,803

{txt}{col 19}mean:{res}{col 26} 386.629
{txt}{col 15}std. dev:{res}{col 26} 225.108

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      93{col 37}     155{col 47}     360{col 57}     475{col 67}     732
{txt}
{com}. 
. *** Model 4 ***
. 
. logit major_frev $ind  $time i.ccode

{txt}note: 160.ccode != 0 predicts failure perfectly
      160.ccode dropped and 5180 obs not used

note: 371.ccode != 0 predicts failure perfectly
      371.ccode dropped and 342 obs not used

note: 433.ccode != 0 predicts failure perfectly
      433.ccode dropped and 1714 obs not used

note: 551.ccode != 0 predicts failure perfectly
      551.ccode dropped and 239 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-4446.2324}  
Iteration 1:{space 3}log likelihood = {res:   -3954.5}  
Iteration 2:{space 3}log likelihood = {res:-3082.0683}  
Iteration 3:{space 3}log likelihood = {res:-2919.2478}  
Iteration 4:{space 3}log likelihood = {res:-2912.9345}  
Iteration 5:{space 3}log likelihood = {res:-2912.9238}  
Iteration 6:{space 3}log likelihood = {res:-2912.9237}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   159,958
{txt}{col 49}LR chi2({res}57{txt}){col 67}= {res}   3066.62
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2912.9237{txt}{col 49}Pseudo R2{col 67}= {res}    0.3449

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2}  1.79383{col 29}{space 2}  .229889{col 40}{space 1}    7.80{col 49}{space 3}0.000{col 57}{space 4} 1.343256{col 70}{space 3} 2.244405
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.0556374{col 29}{space 2} .0155014{col 40}{space 1}   -3.59{col 49}{space 3}0.000{col 57}{space 4}-.0860196{col 70}{space 3}-.0252552
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .1754187{col 29}{space 2} .1063322{col 40}{space 1}    1.65{col 49}{space 3}0.099{col 57}{space 4}-.0329886{col 70}{space 3} .3838259
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.2658804{col 29}{space 2} .2030179{col 40}{space 1}   -1.31{col 49}{space 3}0.190{col 57}{space 4}-.6637882{col 70}{space 3} .1320273
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2} .0080404{col 29}{space 2} .0095928{col 40}{space 1}    0.84{col 49}{space 3}0.402{col 57}{space 4}-.0107611{col 70}{space 3} .0268419
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.3002616{col 29}{space 2} .0108448{col 40}{space 1}  -27.69{col 49}{space 3}0.000{col 57}{space 4}-.3215169{col 70}{space 3}-.2790062
{txt}{space 15} {c |}
{space 10}ccode {c |}
{space 12}70  {c |}{col 17}{res}{space 2}-1.474907{col 29}{space 2} 1.025727{col 40}{space 1}   -1.44{col 49}{space 3}0.150{col 57}{space 4}-3.485295{col 70}{space 3} .5354809
{txt}{space 12}90  {c |}{col 17}{res}{space 2}-1.676962{col 29}{space 2} .4880923{col 40}{space 1}   -3.44{col 49}{space 3}0.001{col 57}{space 4}-2.633605{col 70}{space 3}-.7203185
{txt}{space 12}91  {c |}{col 17}{res}{space 2}-.9820999{col 29}{space 2} .3675768{col 40}{space 1}   -2.67{col 49}{space 3}0.008{col 57}{space 4}-1.702537{col 70}{space 3}-.2616625
{txt}{space 12}92  {c |}{col 17}{res}{space 2}-1.121789{col 29}{space 2} .4543436{col 40}{space 1}   -2.47{col 49}{space 3}0.014{col 57}{space 4}-2.012287{col 70}{space 3}-.2312922
{txt}{space 12}93  {c |}{col 17}{res}{space 2}-2.519833{col 29}{space 2} 1.023665{col 40}{space 1}   -2.46{col 49}{space 3}0.014{col 57}{space 4} -4.52618{col 70}{space 3} -.513487
{txt}{space 12}95  {c |}{col 17}{res}{space 2}-.0809578{col 29}{space 2}  .320327{col 40}{space 1}   -0.25{col 49}{space 3}0.800{col 57}{space 4}-.7087872{col 70}{space 3} .5468715
{txt}{space 11}130  {c |}{col 17}{res}{space 2}-1.255429{col 29}{space 2} .4602323{col 40}{space 1}   -2.73{col 49}{space 3}0.006{col 57}{space 4}-2.157468{col 70}{space 3}-.3533906
{txt}{space 11}135  {c |}{col 17}{res}{space 2} -1.54712{col 29}{space 2} .3772415{col 40}{space 1}   -4.10{col 49}{space 3}0.000{col 57}{space 4}  -2.2865{col 70}{space 3}-.8077407
{txt}{space 11}140  {c |}{col 17}{res}{space 2} .2648115{col 29}{space 2} .2787776{col 40}{space 1}    0.95{col 49}{space 3}0.342{col 57}{space 4}-.2815825{col 70}{space 3} .8112056
{txt}{space 11}145  {c |}{col 17}{res}{space 2}-1.458775{col 29}{space 2} .3486841{col 40}{space 1}   -4.18{col 49}{space 3}0.000{col 57}{space 4}-2.142183{col 70}{space 3}-.7753665
{txt}{space 11}150  {c |}{col 17}{res}{space 2}-.9377192{col 29}{space 2} .7437359{col 40}{space 1}   -1.26{col 49}{space 3}0.207{col 57}{space 4}-2.395415{col 70}{space 3} .5199765
{txt}{space 11}155  {c |}{col 17}{res}{space 2}-3.463765{col 29}{space 2} 1.021333{col 40}{space 1}   -3.39{col 49}{space 3}0.001{col 57}{space 4}-5.465541{col 70}{space 3} -1.46199
{txt}{space 11}160  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}165  {c |}{col 17}{res}{space 2}-2.324764{col 29}{space 2} .7380166{col 40}{space 1}   -3.15{col 49}{space 3}0.002{col 57}{space 4} -3.77125{col 70}{space 3}-.8782781
{txt}{space 11}230  {c |}{col 17}{res}{space 2}-.9269439{col 29}{space 2} .3446719{col 40}{space 1}   -2.69{col 49}{space 3}0.007{col 57}{space 4}-1.602488{col 70}{space 3}-.2513994
{txt}{space 11}235  {c |}{col 17}{res}{space 2}-1.723391{col 29}{space 2} .5394331{col 40}{space 1}   -3.19{col 49}{space 3}0.001{col 57}{space 4} -2.78066{col 70}{space 3}-.6661217
{txt}{space 11}290  {c |}{col 17}{res}{space 2}-2.698007{col 29}{space 2} .6130211{col 40}{space 1}   -4.40{col 49}{space 3}0.000{col 57}{space 4}-3.899506{col 70}{space 3}-1.496508
{txt}{space 11}310  {c |}{col 17}{res}{space 2}-1.899292{col 29}{space 2} .6145673{col 40}{space 1}   -3.09{col 49}{space 3}0.002{col 57}{space 4}-3.103822{col 70}{space 3}-.6947625
{txt}{space 11}339  {c |}{col 17}{res}{space 2} .2915795{col 29}{space 2}  .267255{col 40}{space 1}    1.09{col 49}{space 3}0.275{col 57}{space 4}-.2322307{col 70}{space 3} .8153897
{txt}{space 11}345  {c |}{col 17}{res}{space 2}-2.839806{col 29}{space 2} .5402684{col 40}{space 1}   -5.26{col 49}{space 3}0.000{col 57}{space 4}-3.898713{col 70}{space 3}-1.780899
{txt}{space 11}350  {c |}{col 17}{res}{space 2}-2.981171{col 29}{space 2} .7368884{col 40}{space 1}   -4.05{col 49}{space 3}0.000{col 57}{space 4}-4.425446{col 70}{space 3}-1.536897
{txt}{space 11}355  {c |}{col 17}{res}{space 2}-1.555162{col 29}{space 2} .7419704{col 40}{space 1}   -2.10{col 49}{space 3}0.036{col 57}{space 4}-3.009397{col 70}{space 3}-.1009269
{txt}{space 11}360  {c |}{col 17}{res}{space 2}-3.522952{col 29}{space 2} 1.020785{col 40}{space 1}   -3.45{col 49}{space 3}0.001{col 57}{space 4}-5.523654{col 70}{space 3}-1.522249
{txt}{space 11}369  {c |}{col 17}{res}{space 2} .6935395{col 29}{space 2} .3073579{col 40}{space 1}    2.26{col 49}{space 3}0.024{col 57}{space 4} .0911291{col 70}{space 3}  1.29595
{txt}{space 11}371  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}372  {c |}{col 17}{res}{space 2} -.401624{col 29}{space 2}  .314575{col 40}{space 1}   -1.28{col 49}{space 3}0.202{col 57}{space 4} -1.01818{col 70}{space 3} .2149317
{txt}{space 11}404  {c |}{col 17}{res}{space 2} .1400096{col 29}{space 2}  .299115{col 40}{space 1}    0.47{col 49}{space 3}0.640{col 57}{space 4} -.446245{col 70}{space 3} .7262642
{txt}{space 11}420  {c |}{col 17}{res}{space 2}-1.580371{col 29}{space 2} .7433032{col 40}{space 1}   -2.13{col 49}{space 3}0.033{col 57}{space 4}-3.037218{col 70}{space 3}-.1235233
{txt}{space 11}432  {c |}{col 17}{res}{space 2}-.5509444{col 29}{space 2} .3173982{col 40}{space 1}   -1.74{col 49}{space 3}0.083{col 57}{space 4}-1.173033{col 70}{space 3} .0711447
{txt}{space 11}433  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}434  {c |}{col 17}{res}{space 2} .2067043{col 29}{space 2} .3296157{col 40}{space 1}    0.63{col 49}{space 3}0.531{col 57}{space 4}-.4393307{col 70}{space 3} .8527392
{txt}{space 11}436  {c |}{col 17}{res}{space 2} -1.52821{col 29}{space 2} .3380605{col 40}{space 1}   -4.52{col 49}{space 3}0.000{col 57}{space 4}-2.190797{col 70}{space 3}-.8656238
{txt}{space 11}437  {c |}{col 17}{res}{space 2} .9060813{col 29}{space 2} .3063765{col 40}{space 1}    2.96{col 49}{space 3}0.003{col 57}{space 4} .3055944{col 70}{space 3} 1.506568
{txt}{space 11}439  {c |}{col 17}{res}{space 2}-.9830943{col 29}{space 2}  .502059{col 40}{space 1}   -1.96{col 49}{space 3}0.050{col 57}{space 4}-1.967112{col 70}{space 3} .0009232
{txt}{space 11}450  {c |}{col 17}{res}{space 2} -.940372{col 29}{space 2} .3752507{col 40}{space 1}   -2.51{col 49}{space 3}0.012{col 57}{space 4} -1.67585{col 70}{space 3}-.2048941
{txt}{space 11}451  {c |}{col 17}{res}{space 2} .1515362{col 29}{space 2} .2528744{col 40}{space 1}    0.60{col 49}{space 3}0.549{col 57}{space 4}-.3440885{col 70}{space 3} .6471609
{txt}{space 11}452  {c |}{col 17}{res}{space 2}-1.385328{col 29}{space 2} 1.027037{col 40}{space 1}   -1.35{col 49}{space 3}0.177{col 57}{space 4}-3.398283{col 70}{space 3} .6276275
{txt}{space 11}475  {c |}{col 17}{res}{space 2}-1.016749{col 29}{space 2}  .276402{col 40}{space 1}   -3.68{col 49}{space 3}0.000{col 57}{space 4}-1.558487{col 70}{space 3}-.4750116
{txt}{space 11}501  {c |}{col 17}{res}{space 2}-3.005038{col 29}{space 2} 1.020562{col 40}{space 1}   -2.94{col 49}{space 3}0.003{col 57}{space 4}-5.005302{col 70}{space 3}-1.004773
{txt}{space 11}551  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}553  {c |}{col 17}{res}{space 2}  .181514{col 29}{space 2} .2441062{col 40}{space 1}    0.74{col 49}{space 3}0.457{col 57}{space 4}-.2969253{col 70}{space 3} .6599534
{txt}{space 11}560  {c |}{col 17}{res}{space 2} .1955805{col 29}{space 2} .2863358{col 40}{space 1}    0.68{col 49}{space 3}0.495{col 57}{space 4}-.3656274{col 70}{space 3} .7567884
{txt}{space 11}570  {c |}{col 17}{res}{space 2} .1764083{col 29}{space 2} .3424061{col 40}{space 1}    0.52{col 49}{space 3}0.606{col 57}{space 4}-.4946953{col 70}{space 3} .8475119
{txt}{space 11}580  {c |}{col 17}{res}{space 2}-.6705394{col 29}{space 2} .3595758{col 40}{space 1}   -1.86{col 49}{space 3}0.062{col 57}{space 4}-1.375295{col 70}{space 3} .0342162
{txt}{space 11}616  {c |}{col 17}{res}{space 2}-1.399689{col 29}{space 2} .3934843{col 40}{space 1}   -3.56{col 49}{space 3}0.000{col 57}{space 4}-2.170904{col 70}{space 3}-.6284742
{txt}{space 11}640  {c |}{col 17}{res}{space 2} .3618555{col 29}{space 2} .2519729{col 40}{space 1}    1.44{col 49}{space 3}0.151{col 57}{space 4}-.1320023{col 70}{space 3} .8557132
{txt}{space 11}712  {c |}{col 17}{res}{space 2}-2.218709{col 29}{space 2}  1.02385{col 40}{space 1}   -2.17{col 49}{space 3}0.030{col 57}{space 4}-4.225419{col 70}{space 3}-.2119996
{txt}{space 11}713  {c |}{col 17}{res}{space 2}-1.491864{col 29}{space 2}  1.02587{col 40}{space 1}   -1.45{col 49}{space 3}0.146{col 57}{space 4}-3.502533{col 70}{space 3} .5188045
{txt}{space 11}732  {c |}{col 17}{res}{space 2} -1.56719{col 29}{space 2} .3926994{col 40}{space 1}   -3.99{col 49}{space 3}0.000{col 57}{space 4}-2.336867{col 70}{space 3}-.7975139
{txt}{space 11}771  {c |}{col 17}{res}{space 2}-.9941587{col 29}{space 2} .3655015{col 40}{space 1}   -2.72{col 49}{space 3}0.007{col 57}{space 4}-1.710528{col 70}{space 3}-.2777889
{txt}{space 11}780  {c |}{col 17}{res}{space 2} -.005563{col 29}{space 2} .2649059{col 40}{space 1}   -0.02{col 49}{space 3}0.983{col 57}{space 4} -.524769{col 70}{space 3} .5136431
{txt}{space 11}790  {c |}{col 17}{res}{space 2}-.4379808{col 29}{space 2} .2658939{col 40}{space 1}   -1.65{col 49}{space 3}0.100{col 57}{space 4}-.9591233{col 70}{space 3} .0831618
{txt}{space 11}800  {c |}{col 17}{res}{space 2}-.5200922{col 29}{space 2} .2975573{col 40}{space 1}   -1.75{col 49}{space 3}0.080{col 57}{space 4}-1.103294{col 70}{space 3} .0631093
{txt}{space 11}840  {c |}{col 17}{res}{space 2}-.1113628{col 29}{space 2} .2471915{col 40}{space 1}   -0.45{col 49}{space 3}0.652{col 57}{space 4}-.5958492{col 70}{space 3} .3731236
{txt}{space 11}850  {c |}{col 17}{res}{space 2}-1.724386{col 29}{space 2} .6165144{col 40}{space 1}   -2.80{col 49}{space 3}0.005{col 57}{space 4}-2.932732{col 70}{space 3}-.5160403
{txt}{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-2.979236{col 29}{space 2} .3160413{col 40}{space 1}   -9.43{col 49}{space 3}0.000{col 57}{space 4}-3.598665{col 70}{space 3}-2.359806
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1892 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}9,772{col 51}{txt}missing .:  {res}0{txt}/{res}159,958

{txt}{col 19}mean:{res}{col 26} 27390.1
{txt}{col 15}std. dev:{res}{col 26}   15492

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6835{col 37}   14278{col 47}   26336{col 57}   41325{col 67}   49578

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}42{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}52{col 51}{txt}missing .:  {res}0{txt}/{res}159,958

{txt}{col 19}mean:{res}{col 26} 380.633
{txt}{col 15}std. dev:{res}{col 26} 229.982

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     145{col 47}     355{col 57}     475{col 67}     732
{txt}
{com}. 
. *** Model 5 ***
. 
. logit major_frev $ind female i.dem_const i.coldwar $pre $macro $time i.ccode

{txt}note: 160.ccode != 0 predicts failure perfectly
      160.ccode dropped and 5143 obs not used

note: 371.ccode != 0 predicts failure perfectly
      371.ccode dropped and 342 obs not used

note: 433.ccode != 0 predicts failure perfectly
      433.ccode dropped and 1714 obs not used

note: 551.ccode != 0 predicts failure perfectly
      551.ccode dropped and 235 obs not used

note: 790.ccode omitted because of collinearity
note: 850.ccode omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res: -4444.488}  
Iteration 1:{space 3}log likelihood = {res:-3911.3852}  
Iteration 2:{space 3}log likelihood = {res:-3034.6451}  
Iteration 3:{space 3}log likelihood = {res:-2952.5144}  
Iteration 4:{space 3}log likelihood = {res:-2905.2963}  
Iteration 5:{space 3}log likelihood = {res:-2904.2751}  
Iteration 6:{space 3}log likelihood = {res:-2904.2736}  
Iteration 7:{space 3}log likelihood = {res:-2904.2736}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   159,555
{txt}{col 49}LR chi2({res}64{txt}){col 67}= {res}   3080.43
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2904.2736{txt}{col 49}Pseudo R2{col 67}= {res}    0.3465

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 1.775344{col 31}{space 2} .2302143{col 42}{space 1}    7.71{col 51}{space 3}0.000{col 59}{space 4} 1.324132{col 72}{space 3} 2.226556
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.0542372{col 31}{space 2} .0155496{col 42}{space 1}   -3.49{col 51}{space 3}0.000{col 59}{space 4}-.0847138{col 72}{space 3}-.0237606
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .1870518{col 31}{space 2} .1068136{col 42}{space 1}    1.75{col 51}{space 3}0.080{col 59}{space 4}-.0222991{col 72}{space 3} .3964027
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.2810772{col 31}{space 2} .2034966{col 42}{space 1}   -1.38{col 51}{space 3}0.167{col 59}{space 4}-.6799233{col 72}{space 3} .1177689
{txt}{space 11}female {c |}{col 19}{res}{space 2} .0846106{col 31}{space 2} .1522017{col 42}{space 1}    0.56{col 51}{space 3}0.578{col 59}{space 4}-.2136993{col 72}{space 3} .3829205
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2}-.6645115{col 31}{space 2} .1930582{col 42}{space 1}   -3.44{col 51}{space 3}0.001{col 59}{space 4}-1.042899{col 72}{space 3}-.2861243
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2}-.0508638{col 31}{space 2} .1943609{col 42}{space 1}   -0.26{col 51}{space 3}0.794{col 59}{space 4}-.4318041{col 72}{space 3} .3300765
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-.9802161{col 31}{space 2} 1.185778{col 42}{space 1}   -0.83{col 51}{space 3}0.408{col 59}{space 4}-3.304298{col 72}{space 3} 1.343866
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-.1350438{col 31}{space 2} 1.585711{col 42}{space 1}   -0.09{col 51}{space 3}0.932{col 59}{space 4} -3.24298{col 72}{space 3} 2.972893
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}-1.120275{col 31}{space 2} 1.036785{col 42}{space 1}   -1.08{col 51}{space 3}0.280{col 59}{space 4}-3.152337{col 72}{space 3} .9117868
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}  .448207{col 31}{space 2}  .271138{col 42}{space 1}    1.65{col 51}{space 3}0.098{col 59}{space 4}-.0832138{col 72}{space 3} .9796278
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-1.148383{col 31}{space 2}  .725574{col 42}{space 1}   -1.58{col 51}{space 3}0.113{col 59}{space 4}-2.570482{col 72}{space 3} .2737157
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2}-.8175478{col 31}{space 2} .6716114{col 42}{space 1}   -1.22{col 51}{space 3}0.223{col 59}{space 4}-2.133882{col 72}{space 3} .4987864
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2} .0217699{col 31}{space 2} .0176434{col 42}{space 1}    1.23{col 51}{space 3}0.217{col 59}{space 4}-.0128105{col 72}{space 3} .0563503
{txt}{space 4}yr_since_exit {c |}{col 19}{res}{space 2}-.3008124{col 31}{space 2} .0109674{col 42}{space 1}  -27.43{col 51}{space 3}0.000{col 59}{space 4}-.3223081{col 72}{space 3}-.2793167
{txt}{space 17} {c |}
{space 12}ccode {c |}
{space 14}70  {c |}{col 19}{res}{space 2}-.8501341{col 31}{space 2}  1.31358{col 42}{space 1}   -0.65{col 51}{space 3}0.518{col 59}{space 4}-3.424703{col 72}{space 3} 1.724435
{txt}{space 14}90  {c |}{col 19}{res}{space 2}-1.627344{col 31}{space 2} .8422359{col 42}{space 1}   -1.93{col 51}{space 3}0.053{col 59}{space 4}-3.278096{col 72}{space 3} .0234079
{txt}{space 14}91  {c |}{col 19}{res}{space 2}-.8385857{col 31}{space 2} .6049807{col 42}{space 1}   -1.39{col 51}{space 3}0.166{col 59}{space 4}-2.024326{col 72}{space 3} .3471547
{txt}{space 14}92  {c |}{col 19}{res}{space 2}-1.676286{col 31}{space 2} .6580418{col 42}{space 1}   -2.55{col 51}{space 3}0.011{col 59}{space 4}-2.966024{col 72}{space 3}-.3865475
{txt}{space 14}93  {c |}{col 19}{res}{space 2}-3.727375{col 31}{space 2} 2.842962{col 42}{space 1}   -1.31{col 51}{space 3}0.190{col 59}{space 4}-9.299478{col 72}{space 3} 1.844728
{txt}{space 14}95  {c |}{col 19}{res}{space 2}-1.361735{col 31}{space 2} .7637865{col 42}{space 1}   -1.78{col 51}{space 3}0.075{col 59}{space 4}-2.858729{col 72}{space 3} .1352595
{txt}{space 13}130  {c |}{col 19}{res}{space 2}-1.302197{col 31}{space 2} .6938246{col 42}{space 1}   -1.88{col 51}{space 3}0.061{col 59}{space 4}-2.662068{col 72}{space 3} .0576742
{txt}{space 13}135  {c |}{col 19}{res}{space 2}-.8351295{col 31}{space 2} 1.021992{col 42}{space 1}   -0.82{col 51}{space 3}0.414{col 59}{space 4}-2.838196{col 72}{space 3} 1.167937
{txt}{space 13}140  {c |}{col 19}{res}{space 2} 2.790929{col 31}{space 2} 2.262379{col 42}{space 1}    1.23{col 51}{space 3}0.217{col 59}{space 4}-1.643252{col 72}{space 3}  7.22511
{txt}{space 13}145  {c |}{col 19}{res}{space 2}-1.502775{col 31}{space 2} .6010332{col 42}{space 1}   -2.50{col 51}{space 3}0.012{col 59}{space 4}-2.680778{col 72}{space 3}-.3247713
{txt}{space 13}150  {c |}{col 19}{res}{space 2} -2.36081{col 31}{space 2} 2.716018{col 42}{space 1}   -0.87{col 51}{space 3}0.385{col 59}{space 4}-7.684107{col 72}{space 3} 2.962488
{txt}{space 13}155  {c |}{col 19}{res}{space 2}-3.454608{col 31}{space 2} 1.278906{col 42}{space 1}   -2.70{col 51}{space 3}0.007{col 59}{space 4}-5.961218{col 72}{space 3}-.9479978
{txt}{space 13}160  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}165  {c |}{col 19}{res}{space 2} -3.55546{col 31}{space 2} .9616465{col 42}{space 1}   -3.70{col 51}{space 3}0.000{col 59}{space 4}-5.440252{col 72}{space 3}-1.670667
{txt}{space 13}230  {c |}{col 19}{res}{space 2} .5216381{col 31}{space 2} 1.286004{col 42}{space 1}    0.41{col 51}{space 3}0.685{col 59}{space 4}-1.998883{col 72}{space 3} 3.042159
{txt}{space 13}235  {c |}{col 19}{res}{space 2}-1.938319{col 31}{space 2} .6371984{col 42}{space 1}   -3.04{col 51}{space 3}0.002{col 59}{space 4}-3.187205{col 72}{space 3}-.6894329
{txt}{space 13}290  {c |}{col 19}{res}{space 2}-2.412729{col 31}{space 2} 1.472563{col 42}{space 1}   -1.64{col 51}{space 3}0.101{col 59}{space 4}-5.298898{col 72}{space 3} .4734408
{txt}{space 13}310  {c |}{col 19}{res}{space 2}-3.179911{col 31}{space 2} 2.269554{col 42}{space 1}   -1.40{col 51}{space 3}0.161{col 59}{space 4}-7.628156{col 72}{space 3} 1.268334
{txt}{space 13}339  {c |}{col 19}{res}{space 2}-1.228572{col 31}{space 2} 3.118644{col 42}{space 1}   -0.39{col 51}{space 3}0.694{col 59}{space 4}-7.341003{col 72}{space 3} 4.883858
{txt}{space 13}345  {c |}{col 19}{res}{space 2}-3.974197{col 31}{space 2} 2.279952{col 42}{space 1}   -1.74{col 51}{space 3}0.081{col 59}{space 4}-8.442821{col 72}{space 3} .4944266
{txt}{space 13}350  {c |}{col 19}{res}{space 2}-2.770007{col 31}{space 2} .9576245{col 42}{space 1}   -2.89{col 51}{space 3}0.004{col 59}{space 4}-4.646916{col 72}{space 3}-.8930974
{txt}{space 13}355  {c |}{col 19}{res}{space 2}-2.277812{col 31}{space 2} 2.407363{col 42}{space 1}   -0.95{col 51}{space 3}0.344{col 59}{space 4}-6.996158{col 72}{space 3} 2.440533
{txt}{space 13}360  {c |}{col 19}{res}{space 2}-3.245559{col 31}{space 2} 1.935674{col 42}{space 1}   -1.68{col 51}{space 3}0.094{col 59}{space 4} -7.03941{col 72}{space 3} .5482912
{txt}{space 13}369  {c |}{col 19}{res}{space 2} .6438357{col 31}{space 2} 1.320617{col 42}{space 1}    0.49{col 51}{space 3}0.626{col 59}{space 4}-1.944526{col 72}{space 3} 3.232198
{txt}{space 13}371  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}372  {c |}{col 19}{res}{space 2}-1.188586{col 31}{space 2}  .473676{col 42}{space 1}   -2.51{col 51}{space 3}0.012{col 59}{space 4}-2.116974{col 72}{space 3}-.2601976
{txt}{space 13}404  {c |}{col 19}{res}{space 2}-.7527767{col 31}{space 2} .9499528{col 42}{space 1}   -0.79{col 51}{space 3}0.428{col 59}{space 4} -2.61465{col 72}{space 3} 1.109097
{txt}{space 13}420  {c |}{col 19}{res}{space 2}-2.296235{col 31}{space 2} .9963015{col 42}{space 1}   -2.30{col 51}{space 3}0.021{col 59}{space 4} -4.24895{col 72}{space 3}-.3435204
{txt}{space 13}432  {c |}{col 19}{res}{space 2}  .331249{col 31}{space 2}  .725532{col 42}{space 1}    0.46{col 51}{space 3}0.648{col 59}{space 4}-1.090768{col 72}{space 3} 1.753266
{txt}{space 13}433  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}434  {c |}{col 19}{res}{space 2} .4057807{col 31}{space 2} .5248503{col 42}{space 1}    0.77{col 51}{space 3}0.439{col 59}{space 4}-.6229069{col 72}{space 3} 1.434468
{txt}{space 13}436  {c |}{col 19}{res}{space 2}-.5101057{col 31}{space 2} .8885159{col 42}{space 1}   -0.57{col 51}{space 3}0.566{col 59}{space 4}-2.251565{col 72}{space 3} 1.231354
{txt}{space 13}437  {c |}{col 19}{res}{space 2} 2.552816{col 31}{space 2} 1.000493{col 42}{space 1}    2.55{col 51}{space 3}0.011{col 59}{space 4} .5918861{col 72}{space 3} 4.513746
{txt}{space 13}439  {c |}{col 19}{res}{space 2} .1298875{col 31}{space 2} 1.018703{col 42}{space 1}    0.13{col 51}{space 3}0.899{col 59}{space 4}-1.866734{col 72}{space 3} 2.126509
{txt}{space 13}450  {c |}{col 19}{res}{space 2}-.8356043{col 31}{space 2}  .729703{col 42}{space 1}   -1.15{col 51}{space 3}0.252{col 59}{space 4}-2.265796{col 72}{space 3} .5945873
{txt}{space 13}451  {c |}{col 19}{res}{space 2} .3403442{col 31}{space 2} .5036751{col 42}{space 1}    0.68{col 51}{space 3}0.499{col 59}{space 4}-.6468408{col 72}{space 3} 1.327529
{txt}{space 13}452  {c |}{col 19}{res}{space 2}-.3758235{col 31}{space 2} 1.373608{col 42}{space 1}   -0.27{col 51}{space 3}0.784{col 59}{space 4}-3.068046{col 72}{space 3}   2.3164
{txt}{space 13}475  {c |}{col 19}{res}{space 2} 1.052523{col 31}{space 2} 2.243728{col 42}{space 1}    0.47{col 51}{space 3}0.639{col 59}{space 4}-3.345104{col 72}{space 3} 5.450149
{txt}{space 13}501  {c |}{col 19}{res}{space 2}-1.875666{col 31}{space 2} 1.640767{col 42}{space 1}   -1.14{col 51}{space 3}0.253{col 59}{space 4} -5.09151{col 72}{space 3} 1.340178
{txt}{space 13}551  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}553  {c |}{col 19}{res}{space 2} 1.024085{col 31}{space 2} .7247181{col 42}{space 1}    1.41{col 51}{space 3}0.158{col 59}{space 4}-.3963364{col 72}{space 3} 2.444507
{txt}{space 13}560  {c |}{col 19}{res}{space 2} .6590274{col 31}{space 2} 1.295894{col 42}{space 1}    0.51{col 51}{space 3}0.611{col 59}{space 4}-1.880879{col 72}{space 3} 3.198933
{txt}{space 13}570  {c |}{col 19}{res}{space 2}-.9871051{col 31}{space 2} .9783345{col 42}{space 1}   -1.01{col 51}{space 3}0.313{col 59}{space 4}-2.904605{col 72}{space 3} .9303953
{txt}{space 13}580  {c |}{col 19}{res}{space 2} .5202238{col 31}{space 2} .8627569{col 42}{space 1}    0.60{col 51}{space 3}0.547{col 59}{space 4}-1.170749{col 72}{space 3} 2.211196
{txt}{space 13}616  {c |}{col 19}{res}{space 2} -2.29407{col 31}{space 2} 2.160952{col 42}{space 1}   -1.06{col 51}{space 3}0.288{col 59}{space 4}-6.529458{col 72}{space 3} 1.941318
{txt}{space 13}640  {c |}{col 19}{res}{space 2}  1.32532{col 31}{space 2} 1.561016{col 42}{space 1}    0.85{col 51}{space 3}0.396{col 59}{space 4}-1.734215{col 72}{space 3} 4.384854
{txt}{space 13}712  {c |}{col 19}{res}{space 2}-3.976491{col 31}{space 2} 3.245144{col 42}{space 1}   -1.23{col 51}{space 3}0.220{col 59}{space 4}-10.33686{col 72}{space 3} 2.383875
{txt}{space 13}713  {c |}{col 19}{res}{space 2}-2.578311{col 31}{space 2} 2.059922{col 42}{space 1}   -1.25{col 51}{space 3}0.211{col 59}{space 4}-6.615683{col 72}{space 3} 1.459062
{txt}{space 13}732  {c |}{col 19}{res}{space 2}-.7277364{col 31}{space 2}  1.50419{col 42}{space 1}   -0.48{col 51}{space 3}0.629{col 59}{space 4}-3.675895{col 72}{space 3} 2.220423
{txt}{space 13}771  {c |}{col 19}{res}{space 2} 1.598474{col 31}{space 2} 2.070494{col 42}{space 1}    0.77{col 51}{space 3}0.440{col 59}{space 4} -2.45962{col 72}{space 3} 5.656569
{txt}{space 13}780  {c |}{col 19}{res}{space 2}-.4373324{col 31}{space 2}  1.74775{col 42}{space 1}   -0.25{col 51}{space 3}0.802{col 59}{space 4} -3.86286{col 72}{space 3} 2.988195
{txt}{space 13}790  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}800  {c |}{col 19}{res}{space 2} 1.281344{col 31}{space 2} 1.681588{col 42}{space 1}    0.76{col 51}{space 3}0.446{col 59}{space 4}-2.014507{col 72}{space 3} 4.577196
{txt}{space 13}840  {c |}{col 19}{res}{space 2} 2.263081{col 31}{space 2} 1.607481{col 42}{space 1}    1.41{col 51}{space 3}0.159{col 59}{space 4}-.8875238{col 72}{space 3} 5.413686
{txt}{space 13}850  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 1.754358{col 31}{space 2} 6.776539{col 42}{space 1}    0.26{col 51}{space 3}0.796{col 59}{space 4}-11.52742{col 72}{space 3} 15.03613
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 1079 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode  if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}9,755{col 51}{txt}missing .:  {res}0{txt}/{res}159,555

{txt}{col 19}mean:{res}{col 26} 27395.4
{txt}{col 15}std. dev:{res}{col 26}   15488

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6835{col 37}   14287{col 47}   26344{col 57}   41325{col 67}   49536

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}42{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}52{col 51}{txt}missing .:  {res}0{txt}/{res}159,555

{txt}{col 19}mean:{res}{col 26} 380.122
{txt}{col 15}std. dev:{res}{col 26} 229.907

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     145{col 47}     355{col 57}     475{col 67}     732
{txt}
{com}. 
. 
. *** Table A20 ***
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. *** Model 1 ***
. logit major_frev $ind i.gwf_caseid if diff_pol>.2

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 123 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 508.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1220.2157}  
Iteration 1:{space 3}log likelihood = {res:-1116.3322}  
Iteration 2:{space 3}log likelihood = {res:-1015.4077}  
Iteration 3:{space 3}log likelihood = {res:-1008.2597}  
Iteration 4:{space 3}log likelihood = {res:   -1008.1}  
Iteration 5:{space 3}log likelihood = {res:-1008.0999}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     4,767
{txt}{col 49}LR chi2({res}32{txt}){col 67}= {res}    424.23
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1008.0999{txt}{col 49}Pseudo R2{col 67}= {res}    0.1738

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 2.074155{col 29}{space 2} .3508472{col 40}{space 1}    5.91{col 49}{space 3}0.000{col 57}{space 4} 1.386507{col 70}{space 3} 2.761803
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2} -.219359{col 29}{space 2}  .027601{col 40}{space 1}   -7.95{col 49}{space 3}0.000{col 57}{space 4}-.2734559{col 70}{space 3}-.1652621
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2}  .202819{col 29}{space 2} .1638095{col 40}{space 1}    1.24{col 49}{space 3}0.216{col 57}{space 4}-.1182418{col 70}{space 3} .5238798
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.1130877{col 29}{space 2} .3034675{col 40}{space 1}   -0.37{col 49}{space 3}0.709{col 57}{space 4} -.707873{col 70}{space 3} .4816976
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} .8809688{col 29}{space 2} 1.069047{col 40}{space 1}    0.82{col 49}{space 3}0.410{col 57}{space 4}-1.214324{col 70}{space 3} 2.976262
{txt}{space 12}51  {c |}{col 17}{res}{space 2} 2.038018{col 29}{space 2} 1.051191{col 40}{space 1}    1.94{col 49}{space 3}0.053{col 57}{space 4}-.0222781{col 70}{space 3} 4.098314
{txt}{space 12}62  {c |}{col 17}{res}{space 2} .9136828{col 29}{space 2} 1.055841{col 40}{space 1}    0.87{col 49}{space 3}0.387{col 57}{space 4}-1.155727{col 70}{space 3} 2.983093
{txt}{space 12}69  {c |}{col 17}{res}{space 2} 2.302042{col 29}{space 2} 1.042563{col 40}{space 1}    2.21{col 49}{space 3}0.027{col 57}{space 4} .2586555{col 70}{space 3} 4.345429
{txt}{space 12}71  {c |}{col 17}{res}{space 2} 1.470905{col 29}{space 2} 1.087298{col 40}{space 1}    1.35{col 49}{space 3}0.176{col 57}{space 4}-.6601603{col 70}{space 3}  3.60197
{txt}{space 12}78  {c |}{col 17}{res}{space 2}-.3499128{col 29}{space 2} 1.130842{col 40}{space 1}   -0.31{col 49}{space 3}0.757{col 57}{space 4}-2.566322{col 70}{space 3} 1.866497
{txt}{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}150  {c |}{col 17}{res}{space 2}  .835877{col 29}{space 2} 1.136636{col 40}{space 1}    0.74{col 49}{space 3}0.462{col 57}{space 4}-1.391889{col 70}{space 3} 3.063643
{txt}{space 11}174  {c |}{col 17}{res}{space 2} .7939543{col 29}{space 2} 1.135275{col 40}{space 1}    0.70{col 49}{space 3}0.484{col 57}{space 4}-1.431143{col 70}{space 3} 3.019052
{txt}{space 11}184  {c |}{col 17}{res}{space 2} .1127317{col 29}{space 2} 1.094122{col 40}{space 1}    0.10{col 49}{space 3}0.918{col 57}{space 4}-2.031708{col 70}{space 3} 2.257171
{txt}{space 11}188  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}232  {c |}{col 17}{res}{space 2} 2.281425{col 29}{space 2} 1.047294{col 40}{space 1}    2.18{col 49}{space 3}0.029{col 57}{space 4} .2287672{col 70}{space 3} 4.334084
{txt}{space 11}238  {c |}{col 17}{res}{space 2} 1.319933{col 29}{space 2} 1.077219{col 40}{space 1}    1.23{col 49}{space 3}0.220{col 57}{space 4}-.7913771{col 70}{space 3} 3.431244
{txt}{space 11}265  {c |}{col 17}{res}{space 2}  .638613{col 29}{space 2} 1.068217{col 40}{space 1}    0.60{col 49}{space 3}0.550{col 57}{space 4}-1.455054{col 70}{space 3}  2.73228
{txt}{space 11}290  {c |}{col 17}{res}{space 2} .1951206{col 29}{space 2} 1.093783{col 40}{space 1}    0.18{col 49}{space 3}0.858{col 57}{space 4}-1.948655{col 70}{space 3} 2.338896
{txt}{space 11}320  {c |}{col 17}{res}{space 2} .6320463{col 29}{space 2}  1.11022{col 40}{space 1}    0.57{col 49}{space 3}0.569{col 57}{space 4}-1.543945{col 70}{space 3} 2.808038
{txt}{space 11}323  {c |}{col 17}{res}{space 2} 2.490792{col 29}{space 2} 1.043334{col 40}{space 1}    2.39{col 49}{space 3}0.017{col 57}{space 4} .4458953{col 70}{space 3} 4.535689
{txt}{space 11}351  {c |}{col 17}{res}{space 2} 1.952988{col 29}{space 2} 1.033118{col 40}{space 1}    1.89{col 49}{space 3}0.059{col 57}{space 4}-.0718857{col 70}{space 3} 3.977862
{txt}{space 11}376  {c |}{col 17}{res}{space 2} 1.312409{col 29}{space 2} 1.077723{col 40}{space 1}    1.22{col 49}{space 3}0.223{col 57}{space 4}-.7998897{col 70}{space 3} 3.424708
{txt}{space 11}387  {c |}{col 17}{res}{space 2}  .467228{col 29}{space 2} 1.172066{col 40}{space 1}    0.40{col 49}{space 3}0.690{col 57}{space 4}-1.829979{col 70}{space 3} 2.764435
{txt}{space 11}390  {c |}{col 17}{res}{space 2}-.5006773{col 29}{space 2} 1.238282{col 40}{space 1}   -0.40{col 49}{space 3}0.686{col 57}{space 4}-2.927665{col 70}{space 3} 1.926311
{txt}{space 11}395  {c |}{col 17}{res}{space 2}-.2094513{col 29}{space 2} 1.168086{col 40}{space 1}   -0.18{col 49}{space 3}0.858{col 57}{space 4}-2.498858{col 70}{space 3} 2.079955
{txt}{space 11}398  {c |}{col 17}{res}{space 2} 1.768742{col 29}{space 2} 1.102566{col 40}{space 1}    1.60{col 49}{space 3}0.109{col 57}{space 4}-.3922464{col 70}{space 3} 3.929731
{txt}{space 11}401  {c |}{col 17}{res}{space 2}-.3992749{col 29}{space 2} 1.237977{col 40}{space 1}   -0.32{col 49}{space 3}0.747{col 57}{space 4}-2.825666{col 70}{space 3} 2.027116
{txt}{space 11}409  {c |}{col 17}{res}{space 2} 2.822465{col 29}{space 2}  1.03303{col 40}{space 1}    2.73{col 49}{space 3}0.006{col 57}{space 4} .7977622{col 70}{space 3} 4.847167
{txt}{space 11}428  {c |}{col 17}{res}{space 2} 2.932356{col 29}{space 2} 1.037724{col 40}{space 1}    2.83{col 49}{space 3}0.005{col 57}{space 4} .8984549{col 70}{space 3} 4.966256
{txt}{space 11}436  {c |}{col 17}{res}{space 2}   1.2439{col 29}{space 2} 1.098061{col 40}{space 1}    1.13{col 49}{space 3}0.257{col 57}{space 4}-.9082596{col 70}{space 3} 3.396059
{txt}{space 11}441  {c |}{col 17}{res}{space 2} 3.429471{col 29}{space 2} 1.029545{col 40}{space 1}    3.33{col 49}{space 3}0.001{col 57}{space 4}   1.4116{col 70}{space 3} 5.447343
{txt}{space 11}464  {c |}{col 17}{res}{space 2} 1.948261{col 29}{space 2} 1.043846{col 40}{space 1}    1.87{col 49}{space 3}0.062{col 57}{space 4}-.0976398{col 70}{space 3} 3.994162
{txt}{space 11}483  {c |}{col 17}{res}{space 2} .9252738{col 29}{space 2} 1.068684{col 40}{space 1}    0.87{col 49}{space 3}0.387{col 57}{space 4}-1.169307{col 70}{space 3} 3.019855
{txt}{space 11}508  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-5.380149{col 29}{space 2} 1.072607{col 40}{space 1}   -5.02{col 49}{space 3}0.000{col 57}{space 4} -7.48242{col 70}{space 3}-3.277879
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}4,688{col 51}{txt}missing .:  {res}0{txt}/{res}4,767

{txt}{col 19}mean:{res}{col 26}   27212
{txt}{col 15}std. dev:{res}{col 26} 15676.9

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6648{col 37}   13975{col 47}   25998{col 57}   41143{col 67}   50131

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}70{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}28{col 51}{txt}missing .:  {res}0{txt}/{res}4,767

{txt}{col 19}mean:{res}{col 26} 427.037
{txt}{col 15}std. dev:{res}{col 26} 211.755

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     135{col 37}     290{col 47}     436{col 57}     560{col 67}     732

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}27{txt},{res}508{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}29{col 51}{txt}missing .:  {res}0{txt}/{res}4,767

{txt}{col 19}mean:{res}{col 26} 281.848
{txt}{col 15}std. dev:{res}{col 26} 147.723

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      62{col 37}     174{col 47}     320{col 57}     401{col 67}     464
{txt}
{com}. 
. *** Model 2 ***
. logit major_frev $ind female i.dem_const i.coldwar $pre $macro i.gwf_caseid if diff_pol>.2

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: prev_gwf_personal omitted because of collinearity
note: 436.gwf_caseid omitted because of collinearity
note: 483.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1219.5531}  
Iteration 1:{space 3}log likelihood = {res:-792.37482}  
Iteration 2:{space 3}log likelihood = {res:-622.14563}  
Iteration 3:{space 3}log likelihood = {res:-527.08758}  
Iteration 4:{space 3}log likelihood = {res:-511.64696}  
Iteration 5:{space 3}log likelihood = {res:-510.06114}  
Iteration 6:{space 3}log likelihood = {res:-510.03344}  
Iteration 7:{space 3}log likelihood = {res:-510.03332}  
Iteration 8:{space 3}log likelihood = {res:-510.03332}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     4,758
{txt}{col 49}LR chi2({res}38{txt}){col 67}= {res}   1419.04
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-510.03332{txt}{col 49}Pseudo R2{col 67}= {res}    0.5818

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 4.283655{col 31}{space 2} .5945486{col 42}{space 1}    7.20{col 51}{space 3}0.000{col 59}{space 4} 3.118362{col 72}{space 3} 5.448949
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.1764531{col 31}{space 2} .0346253{col 42}{space 1}   -5.10{col 51}{space 3}0.000{col 59}{space 4}-.2443175{col 72}{space 3}-.1085888
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .0786151{col 31}{space 2}  .262083{col 42}{space 1}    0.30{col 51}{space 3}0.764{col 59}{space 4}-.4350581{col 72}{space 3} .5922883
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.2530006{col 31}{space 2} .5555384{col 42}{space 1}   -0.46{col 51}{space 3}0.649{col 59}{space 4}-1.341836{col 72}{space 3} .8358346
{txt}{space 11}female {c |}{col 19}{res}{space 2} .3087851{col 31}{space 2} .3213133{col 42}{space 1}    0.96{col 51}{space 3}0.337{col 59}{space 4}-.3209775{col 72}{space 3} .9385476
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2}-4.919921{col 31}{space 2} 1.098811{col 42}{space 1}   -4.48{col 51}{space 3}0.000{col 59}{space 4}-7.073552{col 72}{space 3}-2.766291
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2} 4.935711{col 31}{space 2}   1.1302{col 42}{space 1}    4.37{col 51}{space 3}0.000{col 59}{space 4} 2.720559{col 72}{space 3} 7.150864
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-66.66357{col 31}{space 2} 8.165596{col 42}{space 1}   -8.16{col 51}{space 3}0.000{col 59}{space 4}-82.66784{col 72}{space 3}-50.65929
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-29.07236{col 31}{space 2} 3.385363{col 42}{space 1}   -8.59{col 51}{space 3}0.000{col 59}{space 4}-35.70755{col 72}{space 3}-22.43717
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}-9.967942{col 31}{space 2} 1.410188{col 42}{space 1}   -7.07{col 51}{space 3}0.000{col 59}{space 4}-12.73186{col 72}{space 3}-7.204025
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2} 26.57504{col 31}{space 2} 9.166856{col 42}{space 1}    2.90{col 51}{space 3}0.004{col 59}{space 4} 8.608329{col 72}{space 3} 44.54174
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2}-23.60178{col 31}{space 2} 2.789374{col 42}{space 1}   -8.46{col 51}{space 3}0.000{col 59}{space 4}-29.06885{col 72}{space 3}-18.13471
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2} -66.1119{col 31}{space 2} 7.071843{col 42}{space 1}   -9.35{col 51}{space 3}0.000{col 59}{space 4}-79.97246{col 72}{space 3}-52.25134
{txt}{space 14}51  {c |}{col 19}{res}{space 2}-64.25232{col 31}{space 2} 4.428427{col 42}{space 1}  -14.51{col 51}{space 3}0.000{col 59}{space 4}-72.93188{col 72}{space 3}-55.57276
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 13.11165{col 31}{space 2}  6.51461{col 42}{space 1}    2.01{col 51}{space 3}0.044{col 59}{space 4}  .343254{col 72}{space 3} 25.88006
{txt}{space 14}69  {c |}{col 19}{res}{space 2}  96.6772{col 31}{space 2} 12.39146{col 42}{space 1}    7.80{col 51}{space 3}0.000{col 59}{space 4} 72.39038{col 72}{space 3}  120.964
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-7.423984{col 31}{space 2} 1.216994{col 42}{space 1}   -6.10{col 51}{space 3}0.000{col 59}{space 4}-9.809249{col 72}{space 3} -5.03872
{txt}{space 14}78  {c |}{col 19}{res}{space 2}-41.79342{col 31}{space 2} 3.022402{col 42}{space 1}  -13.83{col 51}{space 3}0.000{col 59}{space 4}-47.71722{col 72}{space 3}-35.86962
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2} 31.75805{col 31}{space 2} 6.334886{col 42}{space 1}    5.01{col 51}{space 3}0.000{col 59}{space 4}  19.3419{col 72}{space 3} 44.17419
{txt}{space 13}174  {c |}{col 19}{res}{space 2}-62.52947{col 31}{space 2} 5.944019{col 42}{space 1}  -10.52{col 51}{space 3}0.000{col 59}{space 4}-74.17954{col 72}{space 3}-50.87941
{txt}{space 13}184  {c |}{col 19}{res}{space 2}-30.79355{col 31}{space 2} 2.558917{col 42}{space 1}  -12.03{col 51}{space 3}0.000{col 59}{space 4}-35.80893{col 72}{space 3}-25.77816
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}232  {c |}{col 19}{res}{space 2} .1964479{col 31}{space 2} 1.110167{col 42}{space 1}    0.18{col 51}{space 3}0.860{col 59}{space 4}-1.979439{col 72}{space 3} 2.372335
{txt}{space 13}238  {c |}{col 19}{res}{space 2} 58.80931{col 31}{space 2} 9.039669{col 42}{space 1}    6.51{col 51}{space 3}0.000{col 59}{space 4} 41.09188{col 72}{space 3} 76.52673
{txt}{space 13}265  {c |}{col 19}{res}{space 2} 71.30632{col 31}{space 2} 8.416813{col 42}{space 1}    8.47{col 51}{space 3}0.000{col 59}{space 4} 54.80967{col 72}{space 3} 87.80298
{txt}{space 13}290  {c |}{col 19}{res}{space 2}-85.68216{col 31}{space 2} 5.485538{col 42}{space 1}  -15.62{col 51}{space 3}0.000{col 59}{space 4}-96.43361{col 72}{space 3} -74.9307
{txt}{space 13}320  {c |}{col 19}{res}{space 2} 51.39124{col 31}{space 2} 6.240801{col 42}{space 1}    8.23{col 51}{space 3}0.000{col 59}{space 4} 39.15949{col 72}{space 3} 63.62298
{txt}{space 13}323  {c |}{col 19}{res}{space 2}-51.32983{col 31}{space 2} 4.050302{col 42}{space 1}  -12.67{col 51}{space 3}0.000{col 59}{space 4}-59.26828{col 72}{space 3}-43.39139
{txt}{space 13}351  {c |}{col 19}{res}{space 2} 21.88595{col 31}{space 2} 8.816001{col 42}{space 1}    2.48{col 51}{space 3}0.013{col 59}{space 4} 4.606901{col 72}{space 3} 39.16499
{txt}{space 13}376  {c |}{col 19}{res}{space 2} 1.851839{col 31}{space 2}  4.42902{col 42}{space 1}    0.42{col 51}{space 3}0.676{col 59}{space 4} -6.82888{col 72}{space 3} 10.53256
{txt}{space 13}387  {c |}{col 19}{res}{space 2} 33.49076{col 31}{space 2}  7.42873{col 42}{space 1}    4.51{col 51}{space 3}0.000{col 59}{space 4} 18.93072{col 72}{space 3}  48.0508
{txt}{space 13}390  {c |}{col 19}{res}{space 2}-17.48076{col 31}{space 2} 2.206971{col 42}{space 1}   -7.92{col 51}{space 3}0.000{col 59}{space 4}-21.80635{col 72}{space 3}-13.15518
{txt}{space 13}395  {c |}{col 19}{res}{space 2} 28.99679{col 31}{space 2} 3.465217{col 42}{space 1}    8.37{col 51}{space 3}0.000{col 59}{space 4} 22.20509{col 72}{space 3} 35.78849
{txt}{space 13}398  {c |}{col 19}{res}{space 2}-33.58842{col 31}{space 2} 4.260439{col 42}{space 1}   -7.88{col 51}{space 3}0.000{col 59}{space 4}-41.93872{col 72}{space 3}-25.23811
{txt}{space 13}401  {c |}{col 19}{res}{space 2} 13.40911{col 31}{space 2} 2.030958{col 42}{space 1}    6.60{col 51}{space 3}0.000{col 59}{space 4} 9.428502{col 72}{space 3} 17.38971
{txt}{space 13}409  {c |}{col 19}{res}{space 2}-13.52958{col 31}{space 2} 2.512492{col 42}{space 1}   -5.38{col 51}{space 3}0.000{col 59}{space 4}-18.45397{col 72}{space 3}-8.605185
{txt}{space 13}428  {c |}{col 19}{res}{space 2} 34.42938{col 31}{space 2} 4.185855{col 42}{space 1}    8.23{col 51}{space 3}0.000{col 59}{space 4} 26.22525{col 72}{space 3}  42.6335
{txt}{space 13}436  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}441  {c |}{col 19}{res}{space 2} 12.48906{col 31}{space 2} 2.007392{col 42}{space 1}    6.22{col 51}{space 3}0.000{col 59}{space 4} 8.554642{col 72}{space 3} 16.42347
{txt}{space 13}464  {c |}{col 19}{res}{space 2} 24.44909{col 31}{space 2} 2.157064{col 42}{space 1}   11.33{col 51}{space 3}0.000{col 59}{space 4} 20.22132{col 72}{space 3} 28.67686
{txt}{space 13}483  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}   339.57{col 31}{space 2} 24.60659{col 42}{space 1}   13.80{col 51}{space 3}0.000{col 59}{space 4} 291.3419{col 72}{space 3}  387.798
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}4,679{col 51}{txt}missing .:  {res}0{txt}/{res}4,758

{txt}{col 19}mean:{res}{col 26} 27218.9
{txt}{col 15}std. dev:{res}{col 26} 15677.3

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6647{col 37}   13976{col 47}   26002{col 57}   41143{col 67}   50131

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}70{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}28{col 51}{txt}missing .:  {res}0{txt}/{res}4,758

{txt}{col 19}mean:{res}{col 26} 426.834
{txt}{col 15}std. dev:{res}{col 26} 211.847

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     135{col 37}     290{col 47}     436{col 57}     560{col 67}     732

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}27{txt},{res}508{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}29{col 51}{txt}missing .:  {res}0{txt}/{res}4,758

{txt}{col 19}mean:{res}{col 26} 281.701
{txt}{col 15}std. dev:{res}{col 26} 147.723

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      62{col 37}     174{col 47}     320{col 57}     401{col 67}     464
{txt}
{com}. 
. *** TSCS Models ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. *** Model 3 ***
. logit major_frev $ind i.gwf_caseid if diff_pol>.2

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 508.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2239.0477}  
Iteration 1:{space 3}log likelihood = {res:-2216.0769}  
Iteration 2:{space 3}log likelihood = {res:-1966.2071}  
Iteration 3:{space 3}log likelihood = {res: -1930.737}  
Iteration 4:{space 3}log likelihood = {res:-1930.2523}  
Iteration 5:{space 3}log likelihood = {res:-1930.2512}  
Iteration 6:{space 3}log likelihood = {res:-1930.2512}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    93,831
{txt}{col 49}LR chi2({res}32{txt}){col 67}= {res}    617.59
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1930.2512{txt}{col 49}Pseudo R2{col 67}= {res}    0.1379

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 1.992464{col 29}{space 2}  .343547{col 40}{space 1}    5.80{col 49}{space 3}0.000{col 57}{space 4} 1.319125{col 70}{space 3} 2.665804
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.2458173{col 29}{space 2} .0279228{col 40}{space 1}   -8.80{col 49}{space 3}0.000{col 57}{space 4} -.300545{col 70}{space 3}-.1910897
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .1603667{col 29}{space 2}  .149084{col 40}{space 1}    1.08{col 49}{space 3}0.282{col 57}{space 4}-.1318326{col 70}{space 3} .4525659
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2} .0029972{col 29}{space 2} .2807231{col 40}{space 1}    0.01{col 49}{space 3}0.991{col 57}{space 4}-.5472099{col 70}{space 3} .5532044
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} 3.759068{col 29}{space 2} 1.056437{col 40}{space 1}    3.56{col 49}{space 3}0.000{col 57}{space 4} 1.688489{col 70}{space 3} 5.829647
{txt}{space 12}51  {c |}{col 17}{res}{space 2} 2.277011{col 29}{space 2}   1.0336{col 40}{space 1}    2.20{col 49}{space 3}0.028{col 57}{space 4} .2511924{col 70}{space 3}  4.30283
{txt}{space 12}62  {c |}{col 17}{res}{space 2} .8276944{col 29}{space 2} 1.041816{col 40}{space 1}    0.79{col 49}{space 3}0.427{col 57}{space 4}-1.214228{col 70}{space 3} 2.869617
{txt}{space 12}69  {c |}{col 17}{res}{space 2} 2.328829{col 29}{space 2} 1.025587{col 40}{space 1}    2.27{col 49}{space 3}0.023{col 57}{space 4}  .318716{col 70}{space 3} 4.338942
{txt}{space 12}71  {c |}{col 17}{res}{space 2} 1.673283{col 29}{space 2} 1.070361{col 40}{space 1}    1.56{col 49}{space 3}0.118{col 57}{space 4}-.4245853{col 70}{space 3} 3.771151
{txt}{space 12}78  {c |}{col 17}{res}{space 2} 1.605468{col 29}{space 2} 1.118971{col 40}{space 1}    1.43{col 49}{space 3}0.151{col 57}{space 4}-.5876737{col 70}{space 3}  3.79861
{txt}{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}150  {c |}{col 17}{res}{space 2} .6573511{col 29}{space 2} 1.118905{col 40}{space 1}    0.59{col 49}{space 3}0.557{col 57}{space 4}-1.535662{col 70}{space 3} 2.850364
{txt}{space 11}174  {c |}{col 17}{res}{space 2} 1.582365{col 29}{space 2}  1.11922{col 40}{space 1}    1.41{col 49}{space 3}0.157{col 57}{space 4}-.6112656{col 70}{space 3} 3.775995
{txt}{space 11}184  {c |}{col 17}{res}{space 2} .6596134{col 29}{space 2} 1.081294{col 40}{space 1}    0.61{col 49}{space 3}0.542{col 57}{space 4}-1.459683{col 70}{space 3}  2.77891
{txt}{space 11}188  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}232  {c |}{col 17}{res}{space 2} 2.567353{col 29}{space 2} 1.029831{col 40}{space 1}    2.49{col 49}{space 3}0.013{col 57}{space 4} .5489223{col 70}{space 3} 4.585784
{txt}{space 11}238  {c |}{col 17}{res}{space 2}  1.87381{col 29}{space 2} 1.061991{col 40}{space 1}    1.76{col 49}{space 3}0.078{col 57}{space 4}-.2076529{col 70}{space 3} 3.955274
{txt}{space 11}265  {c |}{col 17}{res}{space 2} .6977584{col 29}{space 2} 1.054627{col 40}{space 1}    0.66{col 49}{space 3}0.508{col 57}{space 4}-1.369272{col 70}{space 3} 2.764789
{txt}{space 11}290  {c |}{col 17}{res}{space 2} 1.041616{col 29}{space 2} 1.080872{col 40}{space 1}    0.96{col 49}{space 3}0.335{col 57}{space 4}-1.076855{col 70}{space 3} 3.160086
{txt}{space 11}320  {c |}{col 17}{res}{space 2} 1.202466{col 29}{space 2} 1.096159{col 40}{space 1}    1.10{col 49}{space 3}0.273{col 57}{space 4}-.9459654{col 70}{space 3} 3.350898
{txt}{space 11}323  {c |}{col 17}{res}{space 2} 2.763771{col 29}{space 2} 1.025595{col 40}{space 1}    2.69{col 49}{space 3}0.007{col 57}{space 4} .7536411{col 70}{space 3} 4.773901
{txt}{space 11}351  {c |}{col 17}{res}{space 2}  3.31273{col 29}{space 2} 1.018776{col 40}{space 1}    3.25{col 49}{space 3}0.001{col 57}{space 4} 1.315965{col 70}{space 3} 5.309495
{txt}{space 11}376  {c |}{col 17}{res}{space 2} 1.402974{col 29}{space 2} 1.061301{col 40}{space 1}    1.32{col 49}{space 3}0.186{col 57}{space 4}-.6771372{col 70}{space 3} 3.483085
{txt}{space 11}387  {c |}{col 17}{res}{space 2}  1.52473{col 29}{space 2} 1.156554{col 40}{space 1}    1.32{col 49}{space 3}0.187{col 57}{space 4}-.7420746{col 70}{space 3} 3.791535
{txt}{space 11}390  {c |}{col 17}{res}{space 2} .1062152{col 29}{space 2} 1.225729{col 40}{space 1}    0.09{col 49}{space 3}0.931{col 57}{space 4}-2.296169{col 70}{space 3} 2.508599
{txt}{space 11}395  {c |}{col 17}{res}{space 2}-.0758318{col 29}{space 2} 1.155413{col 40}{space 1}   -0.07{col 49}{space 3}0.948{col 57}{space 4}-2.340399{col 70}{space 3} 2.188735
{txt}{space 11}398  {c |}{col 17}{res}{space 2} 1.566662{col 29}{space 2} 1.080867{col 40}{space 1}    1.45{col 49}{space 3}0.147{col 57}{space 4}-.5517978{col 70}{space 3} 3.685122
{txt}{space 11}401  {c |}{col 17}{res}{space 2}-.2333349{col 29}{space 2} 1.225552{col 40}{space 1}   -0.19{col 49}{space 3}0.849{col 57}{space 4}-2.635373{col 70}{space 3} 2.168704
{txt}{space 11}409  {c |}{col 17}{res}{space 2}  3.40222{col 29}{space 2}  1.01653{col 40}{space 1}    3.35{col 49}{space 3}0.001{col 57}{space 4} 1.409858{col 70}{space 3} 5.394583
{txt}{space 11}428  {c |}{col 17}{res}{space 2}  3.30858{col 29}{space 2} 1.019699{col 40}{space 1}    3.24{col 49}{space 3}0.001{col 57}{space 4} 1.310008{col 70}{space 3} 5.307153
{txt}{space 11}436  {c |}{col 17}{res}{space 2}  1.08523{col 29}{space 2} 1.080845{col 40}{space 1}    1.00{col 49}{space 3}0.315{col 57}{space 4}-1.033188{col 70}{space 3} 3.203648
{txt}{space 11}441  {c |}{col 17}{res}{space 2} 5.343143{col 29}{space 2} 1.012784{col 40}{space 1}    5.28{col 49}{space 3}0.000{col 57}{space 4} 3.358123{col 70}{space 3} 7.328164
{txt}{space 11}464  {c |}{col 17}{res}{space 2} 2.645656{col 29}{space 2} 1.028631{col 40}{space 1}    2.57{col 49}{space 3}0.010{col 57}{space 4} .6295776{col 70}{space 3} 4.661735
{txt}{space 11}483  {c |}{col 17}{res}{space 2} 2.285633{col 29}{space 2} 1.054909{col 40}{space 1}    2.17{col 49}{space 3}0.030{col 57}{space 4} .2180503{col 70}{space 3} 4.353216
{txt}{space 11}508  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-8.802745{col 29}{space 2} 1.059301{col 40}{space 1}   -8.31{col 49}{space 3}0.000{col 57}{space 4}-10.87894{col 70}{space 3}-6.726553
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}4,688{col 51}{txt}missing .:  {res}0{txt}/{res}93,831

{txt}{col 19}mean:{res}{col 26} 27140.7
{txt}{col 15}std. dev:{res}{col 26} 15387.4

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6867{col 37}   14314{col 47}   25945{col 57}   40337{col 67}   50061

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}70{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}28{col 51}{txt}missing .:  {res}0{txt}/{res}93,831

{txt}{col 19}mean:{res}{col 26} 390.332
{txt}{col 15}std. dev:{res}{col 26} 221.383

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     135{col 37}     165{col 47}     360{col 57}     560{col 67}     732

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}27{txt},{res}508{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}29{col 51}{txt}missing .:  {res}0{txt}/{res}93,831

{txt}{col 19}mean:{res}{col 26} 284.595
{txt}{col 15}std. dev:{res}{col 26} 140.206

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      62{col 37}     184{col 47}     320{col 57}     401{col 67}     436
{txt}
{com}. 
. *** Model 4 ***
. logit major_frev $ind $time i.gwf_caseid if diff_pol>.2

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 508.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2239.0477}  
Iteration 1:{space 3}log likelihood = {res:-2065.3867}  
Iteration 2:{space 3}log likelihood = {res:-1639.8027}  
Iteration 3:{space 3}log likelihood = {res:-1461.6726}  
Iteration 4:{space 3}log likelihood = {res:-1445.1895}  
Iteration 5:{space 3}log likelihood = {res:-1444.3998}  
Iteration 6:{space 3}log likelihood = {res:-1444.3965}  
Iteration 7:{space 3}log likelihood = {res:-1444.3965}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    93,831
{txt}{col 49}LR chi2({res}34{txt}){col 67}= {res}   1589.30
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1444.3965{txt}{col 49}Pseudo R2{col 67}= {res}    0.3549

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 2.053434{col 29}{space 2} .3479391{col 40}{space 1}    5.90{col 49}{space 3}0.000{col 57}{space 4} 1.371486{col 70}{space 3} 2.735382
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2} -.171871{col 29}{space 2} .0258876{col 40}{space 1}   -6.64{col 49}{space 3}0.000{col 57}{space 4}-.2226097{col 70}{space 3}-.1211323
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .1579687{col 29}{space 2} .1543817{col 40}{space 1}    1.02{col 49}{space 3}0.306{col 57}{space 4}-.1446139{col 70}{space 3} .4605512
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2} .1468402{col 29}{space 2} .2916776{col 40}{space 1}    0.50{col 49}{space 3}0.615{col 57}{space 4}-.4248374{col 70}{space 3} .7185177
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2}-.0597073{col 29}{space 2} .0272146{col 40}{space 1}   -2.19{col 49}{space 3}0.028{col 57}{space 4}-.1130469{col 70}{space 3}-.0063676
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2}-.2330052{col 29}{space 2} .0184351{col 40}{space 1}  -12.64{col 49}{space 3}0.000{col 57}{space 4}-.2691372{col 70}{space 3}-.1968731
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} 2.537481{col 29}{space 2} 1.062589{col 40}{space 1}    2.39{col 49}{space 3}0.017{col 57}{space 4} .4548447{col 70}{space 3} 4.620117
{txt}{space 12}51  {c |}{col 17}{res}{space 2} 3.270901{col 29}{space 2} 1.038346{col 40}{space 1}    3.15{col 49}{space 3}0.002{col 57}{space 4} 1.235779{col 70}{space 3} 5.306022
{txt}{space 12}62  {c |}{col 17}{res}{space 2}  1.49641{col 29}{space 2} 1.044887{col 40}{space 1}    1.43{col 49}{space 3}0.152{col 57}{space 4}-.5515301{col 70}{space 3} 3.544351
{txt}{space 12}69  {c |}{col 17}{res}{space 2} 2.721257{col 29}{space 2} 1.029114{col 40}{space 1}    2.64{col 49}{space 3}0.008{col 57}{space 4} .7042306{col 70}{space 3} 4.738283
{txt}{space 12}71  {c |}{col 17}{res}{space 2} 1.800634{col 29}{space 2} 1.074128{col 40}{space 1}    1.68{col 49}{space 3}0.094{col 57}{space 4}-.3046175{col 70}{space 3} 3.905885
{txt}{space 12}78  {c |}{col 17}{res}{space 2} 1.925968{col 29}{space 2} 1.123568{col 40}{space 1}    1.71{col 49}{space 3}0.087{col 57}{space 4}-.2761853{col 70}{space 3} 4.128122
{txt}{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}150  {c |}{col 17}{res}{space 2} 1.266783{col 29}{space 2} 1.121957{col 40}{space 1}    1.13{col 49}{space 3}0.259{col 57}{space 4}-.9322124{col 70}{space 3} 3.465778
{txt}{space 11}174  {c |}{col 17}{res}{space 2} 1.390182{col 29}{space 2} 1.122022{col 40}{space 1}    1.24{col 49}{space 3}0.215{col 57}{space 4}-.8089409{col 70}{space 3} 3.589305
{txt}{space 11}184  {c |}{col 17}{res}{space 2} 1.426418{col 29}{space 2} 1.084287{col 40}{space 1}    1.32{col 49}{space 3}0.188{col 57}{space 4} -.698746{col 70}{space 3} 3.551582
{txt}{space 11}188  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}232  {c |}{col 17}{res}{space 2}  2.60504{col 29}{space 2} 1.033182{col 40}{space 1}    2.52{col 49}{space 3}0.012{col 57}{space 4} .5800401{col 70}{space 3} 4.630041
{txt}{space 11}238  {c |}{col 17}{res}{space 2} 1.575483{col 29}{space 2} 1.064777{col 40}{space 1}    1.48{col 49}{space 3}0.139{col 57}{space 4}-.5114417{col 70}{space 3} 3.662409
{txt}{space 11}265  {c |}{col 17}{res}{space 2} 1.284374{col 29}{space 2} 1.057484{col 40}{space 1}    1.21{col 49}{space 3}0.225{col 57}{space 4}-.7882568{col 70}{space 3} 3.357005
{txt}{space 11}290  {c |}{col 17}{res}{space 2} 2.019087{col 29}{space 2} 1.084624{col 40}{space 1}    1.86{col 49}{space 3}0.063{col 57}{space 4}-.1067359{col 70}{space 3}  4.14491
{txt}{space 11}320  {c |}{col 17}{res}{space 2} 1.592878{col 29}{space 2} 1.099448{col 40}{space 1}    1.45{col 49}{space 3}0.147{col 57}{space 4}-.5620002{col 70}{space 3} 3.747755
{txt}{space 11}323  {c |}{col 17}{res}{space 2} 2.915981{col 29}{space 2} 1.029269{col 40}{space 1}    2.83{col 49}{space 3}0.005{col 57}{space 4} .8986507{col 70}{space 3} 4.933311
{txt}{space 11}351  {c |}{col 17}{res}{space 2} 3.029473{col 29}{space 2} 1.023551{col 40}{space 1}    2.96{col 49}{space 3}0.003{col 57}{space 4} 1.023351{col 70}{space 3} 5.035595
{txt}{space 11}376  {c |}{col 17}{res}{space 2} 2.049044{col 29}{space 2} 1.064943{col 40}{space 1}    1.92{col 49}{space 3}0.054{col 57}{space 4}-.0382057{col 70}{space 3} 4.136294
{txt}{space 11}387  {c |}{col 17}{res}{space 2} .6271498{col 29}{space 2} 1.158862{col 40}{space 1}    0.54{col 49}{space 3}0.588{col 57}{space 4}-1.644177{col 70}{space 3} 2.898477
{txt}{space 11}390  {c |}{col 17}{res}{space 2} .5931442{col 29}{space 2} 1.228176{col 40}{space 1}    0.48{col 49}{space 3}0.629{col 57}{space 4}-1.814036{col 70}{space 3} 3.000325
{txt}{space 11}395  {c |}{col 17}{res}{space 2} .2658813{col 29}{space 2} 1.157917{col 40}{space 1}    0.23{col 49}{space 3}0.818{col 57}{space 4}-2.003595{col 70}{space 3} 2.535358
{txt}{space 11}398  {c |}{col 17}{res}{space 2} 2.222554{col 29}{space 2}   1.0851{col 40}{space 1}    2.05{col 49}{space 3}0.041{col 57}{space 4} .0957964{col 70}{space 3} 4.349311
{txt}{space 11}401  {c |}{col 17}{res}{space 2} .3031553{col 29}{space 2} 1.228104{col 40}{space 1}    0.25{col 49}{space 3}0.805{col 57}{space 4}-2.103884{col 70}{space 3} 2.710195
{txt}{space 11}409  {c |}{col 17}{res}{space 2} 3.369111{col 29}{space 2} 1.020182{col 40}{space 1}    3.30{col 49}{space 3}0.001{col 57}{space 4} 1.369591{col 70}{space 3} 5.368631
{txt}{space 11}428  {c |}{col 17}{res}{space 2}  3.25963{col 29}{space 2} 1.023429{col 40}{space 1}    3.19{col 49}{space 3}0.001{col 57}{space 4} 1.253745{col 70}{space 3} 5.265515
{txt}{space 11}436  {c |}{col 17}{res}{space 2} 1.426306{col 29}{space 2} 1.083971{col 40}{space 1}    1.32{col 49}{space 3}0.188{col 57}{space 4}-.6982383{col 70}{space 3}  3.55085
{txt}{space 11}441  {c |}{col 17}{res}{space 2} 3.718949{col 29}{space 2} 1.016311{col 40}{space 1}    3.66{col 49}{space 3}0.000{col 57}{space 4} 1.727016{col 70}{space 3} 5.710881
{txt}{space 11}464  {c |}{col 17}{res}{space 2} 2.495846{col 29}{space 2}  1.03209{col 40}{space 1}    2.42{col 49}{space 3}0.016{col 57}{space 4} .4729876{col 70}{space 3} 4.518705
{txt}{space 11}483  {c |}{col 17}{res}{space 2} 1.646462{col 29}{space 2} 1.057997{col 40}{space 1}    1.56{col 49}{space 3}0.120{col 57}{space 4}-.4271735{col 70}{space 3} 3.720097
{txt}{space 11}508  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-6.021663{col 29}{space 2} 1.065355{col 40}{space 1}   -5.65{col 49}{space 3}0.000{col 57}{space 4}-8.109721{col 70}{space 3}-3.933605
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 136 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}4,688{col 51}{txt}missing .:  {res}0{txt}/{res}93,831

{txt}{col 19}mean:{res}{col 26} 27140.7
{txt}{col 15}std. dev:{res}{col 26} 15387.4

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6867{col 37}   14314{col 47}   25945{col 57}   40337{col 67}   50061

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}70{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}28{col 51}{txt}missing .:  {res}0{txt}/{res}93,831

{txt}{col 19}mean:{res}{col 26} 390.332
{txt}{col 15}std. dev:{res}{col 26} 221.383

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     135{col 37}     165{col 47}     360{col 57}     560{col 67}     732

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}27{txt},{res}508{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}29{col 51}{txt}missing .:  {res}0{txt}/{res}93,831

{txt}{col 19}mean:{res}{col 26} 284.595
{txt}{col 15}std. dev:{res}{col 26} 140.206

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      62{col 37}     184{col 47}     320{col 57}     401{col 67}     436
{txt}
{com}. 
. *** Model 5 ***
. logit major_frev $ind female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid if diff_pol>.2

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: prev_gwf_personal omitted because of collinearity
note: 436.gwf_caseid omitted because of collinearity
note: 483.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2237.7533}  
Iteration 1:{space 3}log likelihood = {res:-2030.1084}  
Iteration 2:{space 3}log likelihood = {res:-1629.9147}  
Iteration 3:{space 3}log likelihood = {res:-1444.4775}  
Iteration 4:{space 3}log likelihood = {res:-1426.5432}  
Iteration 5:{space 3}log likelihood = {res:-1425.4526}  
Iteration 6:{space 3}log likelihood = {res:-1425.4508}  
Iteration 7:{space 3}log likelihood = {res:-1425.4508}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    93,473
{txt}{col 49}LR chi2({res}40{txt}){col 67}= {res}   1624.60
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1425.4508{txt}{col 49}Pseudo R2{col 67}= {res}    0.3630

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 2.023106{col 31}{space 2} .3485012{col 42}{space 1}    5.81{col 51}{space 3}0.000{col 59}{space 4} 1.340056{col 72}{space 3} 2.706156
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.1710352{col 31}{space 2} .0258805{col 42}{space 1}   -6.61{col 51}{space 3}0.000{col 59}{space 4}  -.22176{col 72}{space 3}-.1203104
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .1554162{col 31}{space 2} .1555691{col 42}{space 1}    1.00{col 51}{space 3}0.318{col 59}{space 4}-.1494937{col 72}{space 3} .4603261
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2} .1249558{col 31}{space 2} .2947146{col 42}{space 1}    0.42{col 51}{space 3}0.672{col 59}{space 4}-.4526742{col 72}{space 3} .7025859
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.0831218{col 31}{space 2}  .228283{col 42}{space 1}   -0.36{col 51}{space 3}0.716{col 59}{space 4}-.5305483{col 72}{space 3} .3643046
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2}-1.120551{col 31}{space 2} .2994668{col 42}{space 1}   -3.74{col 51}{space 3}0.000{col 59}{space 4}-1.707495{col 72}{space 3}-.5336069
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2}-.0307469{col 31}{space 2} .3066651{col 42}{space 1}   -0.10{col 51}{space 3}0.920{col 59}{space 4}-.6317994{col 72}{space 3} .5703056
{txt}prev_gwf_military {c |}{col 19}{res}{space 2} .3621513{col 31}{space 2} 4.493258{col 42}{space 1}    0.08{col 51}{space 3}0.936{col 59}{space 4}-8.444472{col 72}{space 3} 9.168774
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2} .7345988{col 31}{space 2} 2.110027{col 42}{space 1}    0.35{col 51}{space 3}0.728{col 59}{space 4}-3.400979{col 72}{space 3} 4.870176
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2} 1.928313{col 31}{space 2} .6459883{col 42}{space 1}    2.99{col 51}{space 3}0.003{col 59}{space 4} .6621987{col 72}{space 3} 3.194426
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-4.998475{col 31}{space 2} 1.135338{col 42}{space 1}   -4.40{col 51}{space 3}0.000{col 59}{space 4}-7.223697{col 72}{space 3}-2.773253
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} .8700175{col 31}{space 2} 1.725066{col 42}{space 1}    0.50{col 51}{space 3}0.614{col 59}{space 4}-2.511049{col 72}{space 3} 4.251084
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2}-.0992592{col 31}{space 2} .0480887{col 42}{space 1}   -2.06{col 51}{space 3}0.039{col 59}{space 4}-.1935114{col 72}{space 3}-.0050071
{txt}{space 4}yr_since_exit {c |}{col 19}{res}{space 2} -.230426{col 31}{space 2} .0182822{col 42}{space 1}  -12.60{col 51}{space 3}0.000{col 59}{space 4}-.2662583{col 72}{space 3}-.1945936
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2} 2.440705{col 31}{space 2} 4.277193{col 42}{space 1}    0.57{col 51}{space 3}0.568{col 59}{space 4}-5.942439{col 72}{space 3} 10.82385
{txt}{space 14}51  {c |}{col 19}{res}{space 2} 6.714477{col 31}{space 2}  3.86022{col 42}{space 1}    1.74{col 51}{space 3}0.082{col 59}{space 4}-.8514152{col 72}{space 3} 14.28037
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 3.379856{col 31}{space 2} 1.694056{col 42}{space 1}    2.00{col 51}{space 3}0.046{col 59}{space 4} .0595679{col 72}{space 3} 6.700144
{txt}{space 14}69  {c |}{col 19}{res}{space 2} .7555919{col 31}{space 2} 6.663378{col 42}{space 1}    0.11{col 51}{space 3}0.910{col 59}{space 4}-12.30439{col 72}{space 3} 13.81557
{txt}{space 14}71  {c |}{col 19}{res}{space 2} 1.007408{col 31}{space 2} .7302517{col 42}{space 1}    1.38{col 51}{space 3}0.168{col 59}{space 4}-.4238593{col 72}{space 3} 2.438675
{txt}{space 14}78  {c |}{col 19}{res}{space 2} 3.920948{col 31}{space 2} 2.030329{col 42}{space 1}    1.93{col 51}{space 3}0.053{col 59}{space 4}-.0584237{col 72}{space 3}  7.90032
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2} 1.394458{col 31}{space 2} 2.027325{col 42}{space 1}    0.69{col 51}{space 3}0.492{col 59}{space 4}-2.579027{col 72}{space 3} 5.367942
{txt}{space 13}174  {c |}{col 19}{res}{space 2} 2.376753{col 31}{space 2} 3.964454{col 42}{space 1}    0.60{col 51}{space 3}0.549{col 59}{space 4}-5.393434{col 72}{space 3} 10.14694
{txt}{space 13}184  {c |}{col 19}{res}{space 2} 2.559065{col 31}{space 2} 1.723898{col 42}{space 1}    1.48{col 51}{space 3}0.138{col 59}{space 4}-.8197126{col 72}{space 3} 5.937842
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}232  {c |}{col 19}{res}{space 2} .3247315{col 31}{space 2}  .469571{col 42}{space 1}    0.69{col 51}{space 3}0.489{col 59}{space 4}-.5956108{col 72}{space 3} 1.245074
{txt}{space 13}238  {c |}{col 19}{res}{space 2}-1.034233{col 31}{space 2} 5.043614{col 42}{space 1}   -0.21{col 51}{space 3}0.838{col 59}{space 4}-10.91953{col 72}{space 3} 8.851069
{txt}{space 13}265  {c |}{col 19}{res}{space 2}-1.470596{col 31}{space 2} 4.754489{col 42}{space 1}   -0.31{col 51}{space 3}0.757{col 59}{space 4}-10.78922{col 72}{space 3} 7.848032
{txt}{space 13}290  {c |}{col 19}{res}{space 2} 7.062666{col 31}{space 2} 4.812751{col 42}{space 1}    1.47{col 51}{space 3}0.142{col 59}{space 4}-2.370152{col 72}{space 3} 16.49548
{txt}{space 13}320  {c |}{col 19}{res}{space 2}-2.437771{col 31}{space 2} 3.881753{col 42}{space 1}   -0.63{col 51}{space 3}0.530{col 59}{space 4}-10.04587{col 72}{space 3} 5.170326
{txt}{space 13}323  {c |}{col 19}{res}{space 2} 5.044481{col 31}{space 2} 3.126407{col 42}{space 1}    1.61{col 51}{space 3}0.107{col 59}{space 4}-1.083165{col 72}{space 3} 11.17213
{txt}{space 13}351  {c |}{col 19}{res}{space 2} 5.736227{col 31}{space 2} 3.374991{col 42}{space 1}    1.70{col 51}{space 3}0.089{col 59}{space 4}-.8786331{col 72}{space 3} 12.35109
{txt}{space 13}376  {c |}{col 19}{res}{space 2} 2.669885{col 31}{space 2} 1.119801{col 42}{space 1}    2.38{col 51}{space 3}0.017{col 59}{space 4} .4751166{col 72}{space 3} 4.864654
{txt}{space 13}387  {c |}{col 19}{res}{space 2} .5257098{col 31}{space 2} 3.272924{col 42}{space 1}    0.16{col 51}{space 3}0.872{col 59}{space 4}-5.889103{col 72}{space 3} 6.940522
{txt}{space 13}390  {c |}{col 19}{res}{space 2}-.0791544{col 31}{space 2} 1.199472{col 42}{space 1}   -0.07{col 51}{space 3}0.947{col 59}{space 4}-2.430076{col 72}{space 3} 2.271767
{txt}{space 13}395  {c |}{col 19}{res}{space 2}-1.983531{col 31}{space 2} 2.182378{col 42}{space 1}   -0.91{col 51}{space 3}0.363{col 59}{space 4}-6.260913{col 72}{space 3} 2.293851
{txt}{space 13}398  {c |}{col 19}{res}{space 2} 1.489157{col 31}{space 2}  2.52395{col 42}{space 1}    0.59{col 51}{space 3}0.555{col 59}{space 4}-3.457694{col 72}{space 3} 6.436008
{txt}{space 13}401  {c |}{col 19}{res}{space 2}-.3582746{col 31}{space 2} 1.447114{col 42}{space 1}   -0.25{col 51}{space 3}0.804{col 59}{space 4}-3.194566{col 72}{space 3} 2.478017
{txt}{space 13}409  {c |}{col 19}{res}{space 2} 5.911001{col 31}{space 2} 1.245666{col 42}{space 1}    4.75{col 51}{space 3}0.000{col 59}{space 4} 3.469541{col 72}{space 3} 8.352461
{txt}{space 13}428  {c |}{col 19}{res}{space 2} 1.312093{col 31}{space 2} 2.306498{col 42}{space 1}    0.57{col 51}{space 3}0.569{col 59}{space 4} -3.20856{col 72}{space 3} 5.832747
{txt}{space 13}436  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}441  {c |}{col 19}{res}{space 2} 1.136895{col 31}{space 2} 1.205268{col 42}{space 1}    0.94{col 51}{space 3}0.346{col 59}{space 4}-1.225386{col 72}{space 3} 3.499175
{txt}{space 13}464  {c |}{col 19}{res}{space 2}-2.195184{col 31}{space 2} 1.568145{col 42}{space 1}   -1.40{col 51}{space 3}0.162{col 59}{space 4}-5.268692{col 72}{space 3} .8783228
{txt}{space 13}483  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-30.53395{col 31}{space 2} 20.15648{col 42}{space 1}   -1.51{col 51}{space 3}0.130{col 59}{space 4}-70.03994{col 72}{space 3} 8.972032
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 64 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}4,679{col 51}{txt}missing .:  {res}0{txt}/{res}93,473

{txt}{col 19}mean:{res}{col 26} 27143.9
{txt}{col 15}std. dev:{res}{col 26} 15383.2

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6840{col 37}   14325{col 47}   25982{col 57}   40337{col 67}   50060

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}70{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}28{col 51}{txt}missing .:  {res}0{txt}/{res}93,473

{txt}{col 19}mean:{res}{col 26} 389.404
{txt}{col 15}std. dev:{res}{col 26} 221.171

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     135{col 37}     165{col 47}     360{col 57}     560{col 67}     732

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}27{txt},{res}508{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}29{col 51}{txt}missing .:  {res}0{txt}/{res}93,473

{txt}{col 19}mean:{res}{col 26} 284.076
{txt}{col 15}std. dev:{res}{col 26} 140.134

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      62{col 37}     184{col 47}     320{col 57}     401{col 67}     436
{txt}
{com}. 
. 
. *** Table A21 ***
. use "MainData_ARD_PoP_CS.dta", clear
{txt}
{com}. *** Model 1 ***
. logit major_frev $ind i.gwf_caseid if mean_polyarchy>.6

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 123 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: 508.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:  -1114.77}  
Iteration 1:{space 3}log likelihood = {res:-1030.9403}  
Iteration 2:{space 3}log likelihood = {res:-925.44507}  
Iteration 3:{space 3}log likelihood = {res:-916.64427}  
Iteration 4:{space 3}log likelihood = {res:-916.41763}  
Iteration 5:{space 3}log likelihood = {res:-916.41717}  
Iteration 6:{space 3}log likelihood = {res:-916.41717}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     4,455
{txt}{col 49}LR chi2({res}30{txt}){col 67}= {res}    396.71
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-916.41717{txt}{col 49}Pseudo R2{col 67}= {res}    0.1779

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 2.122702{col 29}{space 2} .3718022{col 40}{space 1}    5.71{col 49}{space 3}0.000{col 57}{space 4} 1.393983{col 70}{space 3}  2.85142
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.2037515{col 29}{space 2} .0274247{col 40}{space 1}   -7.43{col 49}{space 3}0.000{col 57}{space 4} -.257503{col 70}{space 3}-.1500001
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .1921431{col 29}{space 2} .1716427{col 40}{space 1}    1.12{col 49}{space 3}0.263{col 57}{space 4}-.1442704{col 70}{space 3} .5285566
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2} -.127902{col 29}{space 2} .3213249{col 40}{space 1}   -0.40{col 49}{space 3}0.691{col 57}{space 4}-.7576873{col 70}{space 3} .5018832
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} .8887188{col 29}{space 2} 1.068876{col 40}{space 1}    0.83{col 49}{space 3}0.406{col 57}{space 4}-1.206241{col 70}{space 3} 2.983678
{txt}{space 12}51  {c |}{col 17}{res}{space 2}  2.04843{col 29}{space 2} 1.050965{col 40}{space 1}    1.95{col 49}{space 3}0.051{col 57}{space 4}-.0114228{col 70}{space 3} 4.108283
{txt}{space 12}62  {c |}{col 17}{res}{space 2} .9319994{col 29}{space 2} 1.055704{col 40}{space 1}    0.88{col 49}{space 3}0.377{col 57}{space 4}-1.137142{col 70}{space 3} 3.001141
{txt}{space 12}69  {c |}{col 17}{res}{space 2} 2.303023{col 29}{space 2} 1.042358{col 40}{space 1}    2.21{col 49}{space 3}0.027{col 57}{space 4} .2600384{col 70}{space 3} 4.346008
{txt}{space 12}71  {c |}{col 17}{res}{space 2} 1.461152{col 29}{space 2} 1.087094{col 40}{space 1}    1.34{col 49}{space 3}0.179{col 57}{space 4}-.6695119{col 70}{space 3} 3.591817
{txt}{space 12}78  {c |}{col 17}{res}{space 2}-.3500709{col 29}{space 2} 1.130692{col 40}{space 1}   -0.31{col 49}{space 3}0.757{col 57}{space 4}-2.566186{col 70}{space 3} 1.866044
{txt}{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}150  {c |}{col 17}{res}{space 2}  .852064{col 29}{space 2}  1.13647{col 40}{space 1}    0.75{col 49}{space 3}0.453{col 57}{space 4}-1.375376{col 70}{space 3} 3.079504
{txt}{space 11}184  {c |}{col 17}{res}{space 2} .1165844{col 29}{space 2} 1.094008{col 40}{space 1}    0.11{col 49}{space 3}0.915{col 57}{space 4}-2.027632{col 70}{space 3}   2.2608
{txt}{space 11}188  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}232  {c |}{col 17}{res}{space 2} 2.277313{col 29}{space 2} 1.047019{col 40}{space 1}    2.18{col 49}{space 3}0.030{col 57}{space 4} .2251924{col 70}{space 3} 4.329433
{txt}{space 11}238  {c |}{col 17}{res}{space 2} 1.300524{col 29}{space 2} 1.077038{col 40}{space 1}    1.21{col 49}{space 3}0.227{col 57}{space 4} -.810432{col 70}{space 3} 3.411479
{txt}{space 11}265  {c |}{col 17}{res}{space 2} .6473894{col 29}{space 2} 1.068048{col 40}{space 1}    0.61{col 49}{space 3}0.544{col 57}{space 4}-1.445947{col 70}{space 3} 2.740726
{txt}{space 11}290  {c |}{col 17}{res}{space 2}   .19686{col 29}{space 2} 1.093632{col 40}{space 1}    0.18{col 49}{space 3}0.857{col 57}{space 4}-1.946619{col 70}{space 3} 2.340339
{txt}{space 11}320  {c |}{col 17}{res}{space 2} .6214316{col 29}{space 2} 1.110021{col 40}{space 1}    0.56{col 49}{space 3}0.576{col 57}{space 4}-1.554169{col 70}{space 3} 2.797032
{txt}{space 11}323  {c |}{col 17}{res}{space 2} 2.483883{col 29}{space 2} 1.043068{col 40}{space 1}    2.38{col 49}{space 3}0.017{col 57}{space 4} .4395075{col 70}{space 3} 4.528258
{txt}{space 11}376  {c |}{col 17}{res}{space 2} 1.318445{col 29}{space 2} 1.077513{col 40}{space 1}    1.22{col 49}{space 3}0.221{col 57}{space 4}-.7934428{col 70}{space 3} 3.430332
{txt}{space 11}387  {c |}{col 17}{res}{space 2} .4782983{col 29}{space 2} 1.171935{col 40}{space 1}    0.41{col 49}{space 3}0.683{col 57}{space 4}-1.818653{col 70}{space 3} 2.775249
{txt}{space 11}390  {c |}{col 17}{res}{space 2}-.4900814{col 29}{space 2} 1.238154{col 40}{space 1}   -0.40{col 49}{space 3}0.692{col 57}{space 4}-2.916819{col 70}{space 3} 1.936656
{txt}{space 11}395  {c |}{col 17}{res}{space 2}-.2160105{col 29}{space 2} 1.167938{col 40}{space 1}   -0.18{col 49}{space 3}0.853{col 57}{space 4}-2.505127{col 70}{space 3} 2.073106
{txt}{space 11}398  {c |}{col 17}{res}{space 2} 1.773301{col 29}{space 2} 1.102321{col 40}{space 1}    1.61{col 49}{space 3}0.108{col 57}{space 4}-.3872091{col 70}{space 3}  3.93381
{txt}{space 11}401  {c |}{col 17}{res}{space 2}-.4082186{col 29}{space 2} 1.237837{col 40}{space 1}   -0.33{col 49}{space 3}0.742{col 57}{space 4}-2.834334{col 70}{space 3} 2.017897
{txt}{space 11}409  {c |}{col 17}{res}{space 2} 2.808706{col 29}{space 2} 1.032791{col 40}{space 1}    2.72{col 49}{space 3}0.007{col 57}{space 4} .7844721{col 70}{space 3}  4.83294
{txt}{space 11}428  {c |}{col 17}{res}{space 2} 2.922034{col 29}{space 2} 1.037461{col 40}{space 1}    2.82{col 49}{space 3}0.005{col 57}{space 4} .8886477{col 70}{space 3} 4.955421
{txt}{space 11}436  {c |}{col 17}{res}{space 2}  1.24887{col 29}{space 2} 1.097856{col 40}{space 1}    1.14{col 49}{space 3}0.255{col 57}{space 4}-.9028881{col 70}{space 3} 3.400629
{txt}{space 11}441  {c |}{col 17}{res}{space 2} 3.411609{col 29}{space 2} 1.029333{col 40}{space 1}    3.31{col 49}{space 3}0.001{col 57}{space 4} 1.394154{col 70}{space 3} 5.429063
{txt}{space 11}464  {c |}{col 17}{res}{space 2} 1.947004{col 29}{space 2} 1.043675{col 40}{space 1}    1.87{col 49}{space 3}0.062{col 57}{space 4}-.0985617{col 70}{space 3}  3.99257
{txt}{space 11}483  {c |}{col 17}{res}{space 2} .9210658{col 29}{space 2} 1.068482{col 40}{space 1}    0.86{col 49}{space 3}0.389{col 57}{space 4} -1.17312{col 70}{space 3} 3.015252
{txt}{space 11}508  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-5.463244{col 29}{space 2} 1.079348{col 40}{space 1}   -5.06{col 49}{space 3}0.000{col 57}{space 4}-7.578726{col 70}{space 3}-3.347761
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}4,376{col 51}{txt}missing .:  {res}0{txt}/{res}4,455

{txt}{col 19}mean:{res}{col 26} 27078.1
{txt}{col 15}std. dev:{res}{col 26} 15604.9

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6732{col 37}   13976{col 47}   25865{col 57}   40728{col 67}   50052

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}70{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}26{col 51}{txt}missing .:  {res}0{txt}/{res}4,455

{txt}{col 19}mean:{res}{col 26} 427.831
{txt}{col 15}std. dev:{res}{col 26} 218.883

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     135{col 37}     290{col 47}     434{col 57}     616{col 67}     732

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}27{txt},{res}508{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}27{col 51}{txt}missing .:  {res}0{txt}/{res}4,455

{txt}{col 19}mean:{res}{col 26} 280.938
{txt}{col 15}std. dev:{res}{col 26} 151.204

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      62{col 37}     150{col 47}     320{col 57}     409{col 67}     464
{txt}
{com}. 
. *** Model 2 ***
. logit major_frev $ind female i.dem_const i.coldwar $pre $macro i.gwf_caseid if mean_polyarchy>.6

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 122 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 117 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 79 obs not used

note: prev_gwf_personal omitted because of collinearity
note: 436.gwf_caseid omitted because of collinearity
note: 483.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1114.2002}  
Iteration 1:{space 3}log likelihood = {res:-731.51824}  
Iteration 2:{space 3}log likelihood = {res:-614.68335}  
Iteration 3:{space 3}log likelihood = {res:-507.74277}  
Iteration 4:{space 3}log likelihood = {res: -472.8815}  
Iteration 5:{space 3}log likelihood = {res:-452.93131}  
Iteration 6:{space 3}log likelihood = {res:-450.94152}  
Iteration 7:{space 3}log likelihood = {res:-450.92185}  
Iteration 8:{space 3}log likelihood = {res:-450.92184}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     4,447
{txt}{col 49}LR chi2({res}36{txt}){col 67}= {res}   1326.56
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-450.92184{txt}{col 49}Pseudo R2{col 67}= {res}    0.5953

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 4.236011{col 31}{space 2}  .632493{col 42}{space 1}    6.70{col 51}{space 3}0.000{col 59}{space 4} 2.996348{col 72}{space 3} 5.475675
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.1538768{col 31}{space 2} .0341587{col 42}{space 1}   -4.50{col 51}{space 3}0.000{col 59}{space 4}-.2208266{col 72}{space 3}-.0869269
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2}-.0377343{col 31}{space 2} .2832704{col 42}{space 1}   -0.13{col 51}{space 3}0.894{col 59}{space 4} -.592934{col 72}{space 3} .5174655
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.4299895{col 31}{space 2} .6487123{col 42}{space 1}   -0.66{col 51}{space 3}0.507{col 59}{space 4}-1.701442{col 72}{space 3} .8414633
{txt}{space 11}female {c |}{col 19}{res}{space 2} .1664858{col 31}{space 2} .3629778{col 42}{space 1}    0.46{col 51}{space 3}0.646{col 59}{space 4}-.5449376{col 72}{space 3} .8779092
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2}-4.881865{col 31}{space 2}  1.13242{col 42}{space 1}   -4.31{col 51}{space 3}0.000{col 59}{space 4}-7.101369{col 72}{space 3}-2.662362
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2} 4.585708{col 31}{space 2} 1.084721{col 42}{space 1}    4.23{col 51}{space 3}0.000{col 59}{space 4} 2.459694{col 72}{space 3} 6.711722
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-53.91677{col 31}{space 2}  8.76729{col 42}{space 1}   -6.15{col 51}{space 3}0.000{col 59}{space 4}-71.10035{col 72}{space 3} -36.7332
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-23.10737{col 31}{space 2} 3.722634{col 42}{space 1}   -6.21{col 51}{space 3}0.000{col 59}{space 4} -30.4036{col 72}{space 3}-15.81114
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2}-11.72589{col 31}{space 2} 1.722879{col 42}{space 1}   -6.81{col 51}{space 3}0.000{col 59}{space 4}-15.10267{col 72}{space 3}-8.349112
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2} 33.03332{col 31}{space 2} 9.896916{col 42}{space 1}    3.34{col 51}{space 3}0.001{col 59}{space 4} 13.63572{col 72}{space 3} 52.43092
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} -18.1878{col 31}{space 2} 3.120104{col 42}{space 1}   -5.83{col 51}{space 3}0.000{col 59}{space 4}-24.30309{col 72}{space 3}-12.07251
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2}-53.13746{col 31}{space 2} 7.815728{col 42}{space 1}   -6.80{col 51}{space 3}0.000{col 59}{space 4}  -68.456{col 72}{space 3}-37.81891
{txt}{space 14}51  {c |}{col 19}{res}{space 2}-59.18255{col 31}{space 2} 4.392916{col 42}{space 1}  -13.47{col 51}{space 3}0.000{col 59}{space 4}-67.79251{col 72}{space 3}-50.57259
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 5.887605{col 31}{space 2} 6.875389{col 42}{space 1}    0.86{col 51}{space 3}0.392{col 59}{space 4} -7.58791{col 72}{space 3} 19.36312
{txt}{space 14}69  {c |}{col 19}{res}{space 2} 74.67842{col 31}{space 2}  13.7096{col 42}{space 1}    5.45{col 51}{space 3}0.000{col 59}{space 4}  47.8081{col 72}{space 3} 101.5487
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-5.472987{col 31}{space 2} 1.322618{col 42}{space 1}   -4.14{col 51}{space 3}0.000{col 59}{space 4}-8.065271{col 72}{space 3}-2.880703
{txt}{space 14}78  {c |}{col 19}{res}{space 2}-42.17909{col 31}{space 2}  3.22835{col 42}{space 1}  -13.07{col 51}{space 3}0.000{col 59}{space 4}-48.50654{col 72}{space 3}-35.85164
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2} 24.04049{col 31}{space 2} 6.667271{col 42}{space 1}    3.61{col 51}{space 3}0.000{col 59}{space 4} 10.97287{col 72}{space 3}  37.1081
{txt}{space 13}184  {c |}{col 19}{res}{space 2}-31.40103{col 31}{space 2} 2.720525{col 42}{space 1}  -11.54{col 51}{space 3}0.000{col 59}{space 4}-36.73316{col 72}{space 3} -26.0689
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}232  {c |}{col 19}{res}{space 2} 1.148611{col 31}{space 2} 1.208925{col 42}{space 1}    0.95{col 51}{space 3}0.342{col 59}{space 4}-1.220838{col 72}{space 3} 3.518061
{txt}{space 13}238  {c |}{col 19}{res}{space 2} 40.86113{col 31}{space 2} 10.39912{col 42}{space 1}    3.93{col 51}{space 3}0.000{col 59}{space 4} 20.47923{col 72}{space 3} 61.24304
{txt}{space 13}265  {c |}{col 19}{res}{space 2} 57.74256{col 31}{space 2} 8.952532{col 42}{space 1}    6.45{col 51}{space 3}0.000{col 59}{space 4} 40.19592{col 72}{space 3}  75.2892
{txt}{space 13}290  {c |}{col 19}{res}{space 2}-78.85074{col 31}{space 2} 5.489139{col 42}{space 1}  -14.36{col 51}{space 3}0.000{col 59}{space 4}-89.60925{col 72}{space 3}-68.09222
{txt}{space 13}320  {c |}{col 19}{res}{space 2} 39.23158{col 31}{space 2} 6.952256{col 42}{space 1}    5.64{col 51}{space 3}0.000{col 59}{space 4} 25.60541{col 72}{space 3} 52.85776
{txt}{space 13}323  {c |}{col 19}{res}{space 2}-45.68257{col 31}{space 2} 4.115553{col 42}{space 1}  -11.10{col 51}{space 3}0.000{col 59}{space 4} -53.7489{col 72}{space 3}-37.61623
{txt}{space 13}376  {c |}{col 19}{res}{space 2} 1.680204{col 31}{space 2} 4.403789{col 42}{space 1}    0.38{col 51}{space 3}0.703{col 59}{space 4}-6.951064{col 72}{space 3} 10.31147
{txt}{space 13}387  {c |}{col 19}{res}{space 2} 22.13973{col 31}{space 2} 8.144092{col 42}{space 1}    2.72{col 51}{space 3}0.007{col 59}{space 4} 6.177604{col 72}{space 3} 38.10186
{txt}{space 13}390  {c |}{col 19}{res}{space 2}-17.55862{col 31}{space 2} 2.275993{col 42}{space 1}   -7.71{col 51}{space 3}0.000{col 59}{space 4}-22.01949{col 72}{space 3}-13.09776
{txt}{space 13}395  {c |}{col 19}{res}{space 2}   22.478{col 31}{space 2} 3.853829{col 42}{space 1}    5.83{col 51}{space 3}0.000{col 59}{space 4} 14.92463{col 72}{space 3} 30.03136
{txt}{space 13}398  {c |}{col 19}{res}{space 2}-26.57837{col 31}{space 2} 4.709497{col 42}{space 1}   -5.64{col 51}{space 3}0.000{col 59}{space 4}-35.80882{col 72}{space 3}-17.34793
{txt}{space 13}401  {c |}{col 19}{res}{space 2} 9.633872{col 31}{space 2} 2.282502{col 42}{space 1}    4.22{col 51}{space 3}0.000{col 59}{space 4}  5.16025{col 72}{space 3} 14.10749
{txt}{space 13}409  {c |}{col 19}{res}{space 2}-16.89669{col 31}{space 2} 3.083799{col 42}{space 1}   -5.48{col 51}{space 3}0.000{col 59}{space 4}-22.94083{col 72}{space 3}-10.85256
{txt}{space 13}428  {c |}{col 19}{res}{space 2} 26.25051{col 31}{space 2}  4.72926{col 42}{space 1}    5.55{col 51}{space 3}0.000{col 59}{space 4} 16.98133{col 72}{space 3} 35.51969
{txt}{space 13}436  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}441  {c |}{col 19}{res}{space 2} 8.964834{col 31}{space 2} 2.223406{col 42}{space 1}    4.03{col 51}{space 3}0.000{col 59}{space 4} 4.607037{col 72}{space 3} 13.32263
{txt}{space 13}464  {c |}{col 19}{res}{space 2} 22.58297{col 31}{space 2} 2.173832{col 42}{space 1}   10.39{col 51}{space 3}0.000{col 59}{space 4} 18.32233{col 72}{space 3}  26.8436
{txt}{space 13}483  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} 299.4435{col 31}{space 2} 25.16861{col 42}{space 1}   11.90{col 51}{space 3}0.000{col 59}{space 4}  250.114{col 72}{space 3} 348.7731
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}4,368{col 51}{txt}missing .:  {res}0{txt}/{res}4,447

{txt}{col 19}mean:{res}{col 26}   27082
{txt}{col 15}std. dev:{res}{col 26} 15604.8

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6731{col 37}   13990{col 47}   25875{col 57}   40728{col 67}   50052

{txt}{hline}
{res}ccode{right:(lastnm) ccode}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}70{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}26{col 51}{txt}missing .:  {res}0{txt}/{res}4,447

{txt}{col 19}mean:{res}{col 26} 427.618
{txt}{col 15}std. dev:{res}{col 26} 218.967

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     135{col 37}     290{col 47}     434{col 57}     616{col 67}     732

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}27{txt},{res}508{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}27{col 51}{txt}missing .:  {res}0{txt}/{res}4,447

{txt}{col 19}mean:{res}{col 26} 280.795
{txt}{col 15}std. dev:{res}{col 26} 151.197

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      62{col 37}     150{col 47}     320{col 57}     401{col 67}     464
{txt}
{com}. 
. *** TSCS Models ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. *** Model 3 ***
. logit major_frev $ind i.gwf_caseid if mean_polyarchy>.6

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 508.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2047.0234}  
Iteration 1:{space 3}log likelihood = {res: -1905.727}  
Iteration 2:{space 3}log likelihood = {res:-1812.6932}  
Iteration 3:{space 3}log likelihood = {res:-1769.9975}  
Iteration 4:{space 3}log likelihood = {res:-1768.9852}  
Iteration 5:{space 3}log likelihood = {res:-1768.9738}  
Iteration 6:{space 3}log likelihood = {res:-1768.9737}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    90,662
{txt}{col 49}LR chi2({res}30{txt}){col 67}= {res}    556.10
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1768.9737{txt}{col 49}Pseudo R2{col 67}= {res}    0.1358

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 2.042141{col 29}{space 2} .3643093{col 40}{space 1}    5.61{col 49}{space 3}0.000{col 57}{space 4} 1.328108{col 70}{space 3} 2.756174
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}  -.22993{col 29}{space 2} .0277951{col 40}{space 1}   -8.27{col 49}{space 3}0.000{col 57}{space 4}-.2844074{col 70}{space 3}-.1754525
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .1527932{col 29}{space 2}  .156253{col 40}{space 1}    0.98{col 49}{space 3}0.328{col 57}{space 4}-.1534571{col 70}{space 3} .4590434
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2}-.0064659{col 29}{space 2} .2976548{col 40}{space 1}   -0.02{col 49}{space 3}0.983{col 57}{space 4}-.5898586{col 70}{space 3} .5769267
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2}  3.76752{col 29}{space 2} 1.056432{col 40}{space 1}    3.57{col 49}{space 3}0.000{col 57}{space 4} 1.696951{col 70}{space 3}  5.83809
{txt}{space 12}51  {c |}{col 17}{res}{space 2} 2.287511{col 29}{space 2} 1.033595{col 40}{space 1}    2.21{col 49}{space 3}0.027{col 57}{space 4} .2617016{col 70}{space 3} 4.313321
{txt}{space 12}62  {c |}{col 17}{res}{space 2}  .845839{col 29}{space 2} 1.041843{col 40}{space 1}    0.81{col 49}{space 3}0.417{col 57}{space 4}-1.196135{col 70}{space 3} 2.887813
{txt}{space 12}69  {c |}{col 17}{res}{space 2} 2.329264{col 29}{space 2} 1.025615{col 40}{space 1}    2.27{col 49}{space 3}0.023{col 57}{space 4} .3190951{col 70}{space 3} 4.339433
{txt}{space 12}71  {c |}{col 17}{res}{space 2} 1.666002{col 29}{space 2} 1.070429{col 40}{space 1}    1.56{col 49}{space 3}0.120{col 57}{space 4}-.4319991{col 70}{space 3} 3.764004
{txt}{space 12}78  {c |}{col 17}{res}{space 2} 1.606367{col 29}{space 2}  1.11898{col 40}{space 1}    1.44{col 49}{space 3}0.151{col 57}{space 4}-.5867932{col 70}{space 3} 3.799528
{txt}{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}150  {c |}{col 17}{res}{space 2} .6728208{col 29}{space 2} 1.118919{col 40}{space 1}    0.60{col 49}{space 3}0.548{col 57}{space 4} -1.52022{col 70}{space 3} 2.865862
{txt}{space 11}184  {c |}{col 17}{res}{space 2} .6645454{col 29}{space 2} 1.081348{col 40}{space 1}    0.61{col 49}{space 3}0.539{col 57}{space 4}-1.454857{col 70}{space 3} 2.783948
{txt}{space 11}188  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}232  {c |}{col 17}{res}{space 2} 2.564314{col 29}{space 2} 1.029847{col 40}{space 1}    2.49{col 49}{space 3}0.013{col 57}{space 4} .5458513{col 70}{space 3} 4.582776
{txt}{space 11}238  {c |}{col 17}{res}{space 2} 1.857285{col 29}{space 2} 1.062059{col 40}{space 1}    1.75{col 49}{space 3}0.080{col 57}{space 4}-.2243136{col 70}{space 3} 3.938883
{txt}{space 11}265  {c |}{col 17}{res}{space 2} .7065974{col 29}{space 2} 1.054628{col 40}{space 1}    0.67{col 49}{space 3}0.503{col 57}{space 4}-1.360435{col 70}{space 3}  2.77363
{txt}{space 11}290  {c |}{col 17}{res}{space 2} 1.044601{col 29}{space 2} 1.080891{col 40}{space 1}    0.97{col 49}{space 3}0.334{col 57}{space 4}-1.073906{col 70}{space 3} 3.163109
{txt}{space 11}320  {c |}{col 17}{res}{space 2}  1.19279{col 29}{space 2} 1.096166{col 40}{space 1}    1.09{col 49}{space 3}0.277{col 57}{space 4}-.9556553{col 70}{space 3} 3.341236
{txt}{space 11}323  {c |}{col 17}{res}{space 2}  2.76132{col 29}{space 2} 1.025622{col 40}{space 1}    2.69{col 49}{space 3}0.007{col 57}{space 4} .7511365{col 70}{space 3} 4.771503
{txt}{space 11}376  {c |}{col 17}{res}{space 2} 1.410852{col 29}{space 2} 1.061301{col 40}{space 1}    1.33{col 49}{space 3}0.184{col 57}{space 4}-.6692589{col 70}{space 3} 3.490963
{txt}{space 11}387  {c |}{col 17}{res}{space 2}  1.53546{col 29}{space 2} 1.156634{col 40}{space 1}    1.33{col 49}{space 3}0.184{col 57}{space 4}-.7315004{col 70}{space 3}  3.80242
{txt}{space 11}390  {c |}{col 17}{res}{space 2} .1164149{col 29}{space 2} 1.225766{col 40}{space 1}    0.09{col 49}{space 3}0.924{col 57}{space 4}-2.286042{col 70}{space 3} 2.518872
{txt}{space 11}395  {c |}{col 17}{res}{space 2}-.0806745{col 29}{space 2} 1.155439{col 40}{space 1}   -0.07{col 49}{space 3}0.944{col 57}{space 4}-2.345293{col 70}{space 3} 2.183944
{txt}{space 11}398  {c |}{col 17}{res}{space 2} 1.569312{col 29}{space 2} 1.080874{col 40}{space 1}    1.45{col 49}{space 3}0.147{col 57}{space 4}-.5491615{col 70}{space 3} 3.687785
{txt}{space 11}401  {c |}{col 17}{res}{space 2}-.2400817{col 29}{space 2} 1.225587{col 40}{space 1}   -0.20{col 49}{space 3}0.845{col 57}{space 4}-2.642188{col 70}{space 3} 2.162025
{txt}{space 11}409  {c |}{col 17}{res}{space 2} 3.391164{col 29}{space 2} 1.016555{col 40}{space 1}    3.34{col 49}{space 3}0.001{col 57}{space 4} 1.398753{col 70}{space 3} 5.383574
{txt}{space 11}428  {c |}{col 17}{res}{space 2}  3.29931{col 29}{space 2} 1.019731{col 40}{space 1}    3.24{col 49}{space 3}0.001{col 57}{space 4} 1.300673{col 70}{space 3} 5.297947
{txt}{space 11}436  {c |}{col 17}{res}{space 2} 1.088899{col 29}{space 2} 1.080859{col 40}{space 1}    1.01{col 49}{space 3}0.314{col 57}{space 4}-1.029545{col 70}{space 3} 3.207343
{txt}{space 11}441  {c |}{col 17}{res}{space 2} 5.327996{col 29}{space 2} 1.012805{col 40}{space 1}    5.26{col 49}{space 3}0.000{col 57}{space 4} 3.342936{col 70}{space 3} 7.313057
{txt}{space 11}464  {c |}{col 17}{res}{space 2} 2.642023{col 29}{space 2} 1.028649{col 40}{space 1}    2.57{col 49}{space 3}0.010{col 57}{space 4} .6259072{col 70}{space 3} 4.658139
{txt}{space 11}483  {c |}{col 17}{res}{space 2} 2.284102{col 29}{space 2} 1.054909{col 40}{space 1}    2.17{col 49}{space 3}0.030{col 57}{space 4} .2165193{col 70}{space 3} 4.351685
{txt}{space 11}508  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2} -8.88798{col 29}{space 2} 1.066075{col 40}{space 1}   -8.34{col 49}{space 3}0.000{col 57}{space 4}-10.97745{col 70}{space 3}-6.798512
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}4,376{col 51}{txt}missing .:  {res}0{txt}/{res}90,662

{txt}{col 19}mean:{res}{col 26} 27034.9
{txt}{col 15}std. dev:{res}{col 26} 15329.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6935{col 37}   14314{col 47}   25893{col 57}   39970{col 67}   49996

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}70{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}26{col 51}{txt}missing .:  {res}0{txt}/{res}90,662

{txt}{col 19}mean:{res}{col 26} 389.772
{txt}{col 15}std. dev:{res}{col 26}  225.12

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     135{col 37}     145{col 47}     360{col 57}     560{col 67}     732

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}27{txt},{res}508{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}27{col 51}{txt}missing .:  {res}0{txt}/{res}90,662

{txt}{col 19}mean:{res}{col 26} 285.142
{txt}{col 15}std. dev:{res}{col 26} 141.646

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      62{col 37}     184{col 47}     320{col 57}     401{col 67}     436
{txt}
{com}. 
. *** Model 4 ***
. logit major_frev $ind $time i.gwf_caseid if mean_polyarchy>.6

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4551 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 508.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2047.0234}  
Iteration 1:{space 3}log likelihood = {res:-1975.5774}  
Iteration 2:{space 3}log likelihood = {res:-1515.8512}  
Iteration 3:{space 3}log likelihood = {res:-1351.7588}  
Iteration 4:{space 3}log likelihood = {res:-1337.4455}  
Iteration 5:{space 3}log likelihood = {res:-1336.6899}  
Iteration 6:{space 3}log likelihood = {res: -1336.688}  
Iteration 7:{space 3}log likelihood = {res: -1336.688}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    90,662
{txt}{col 49}LR chi2({res}32{txt}){col 67}= {res}   1420.67
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -1336.688{txt}{col 49}Pseudo R2{col 67}= {res}    0.3470

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}     major_frev{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}prev_core {c |}{col 17}{res}{space 2} 2.165352{col 29}{space 2} .3676238{col 40}{space 1}    5.89{col 49}{space 3}0.000{col 57}{space 4} 1.444823{col 70}{space 3} 2.885882
{txt}{space 7}NUML_aut {c |}{col 17}{res}{space 2}-.1714927{col 29}{space 2} .0259831{col 40}{space 1}   -6.60{col 49}{space 3}0.000{col 57}{space 4}-.2224187{col 70}{space 3}-.1205667
{txt}prev_prestige_2 {c |}{col 17}{res}{space 2} .1275344{col 29}{space 2} .1612167{col 40}{space 1}    0.79{col 49}{space 3}0.429{col 57}{space 4}-.1884445{col 70}{space 3} .4435133
{txt}{space 2}prev_military {c |}{col 17}{res}{space 2} .1988551{col 29}{space 2} .3083535{col 40}{space 1}    0.64{col 49}{space 3}0.519{col 57}{space 4}-.4055067{col 70}{space 3} .8032168
{txt}{space 11}yr_t {c |}{col 17}{res}{space 2}-.0491599{col 29}{space 2} .0277585{col 40}{space 1}   -1.77{col 49}{space 3}0.077{col 57}{space 4}-.1035655{col 70}{space 3} .0052458
{txt}{space 2}yr_since_exit {c |}{col 17}{res}{space 2} -.229327{col 29}{space 2} .0194448{col 40}{space 1}  -11.79{col 49}{space 3}0.000{col 57}{space 4}-.2674381{col 70}{space 3}-.1912159
{txt}{space 15} {c |}
{space 5}gwf_caseid {c |}
{space 12}23  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 12}27  {c |}{col 17}{res}{space 2} 2.569237{col 29}{space 2}  1.06257{col 40}{space 1}    2.42{col 49}{space 3}0.016{col 57}{space 4} .4866372{col 70}{space 3} 4.651836
{txt}{space 12}51  {c |}{col 17}{res}{space 2} 3.264012{col 29}{space 2} 1.038114{col 40}{space 1}    3.14{col 49}{space 3}0.002{col 57}{space 4} 1.229345{col 70}{space 3} 5.298679
{txt}{space 12}62  {c |}{col 17}{res}{space 2} 1.488986{col 29}{space 2} 1.044778{col 40}{space 1}    1.43{col 49}{space 3}0.154{col 57}{space 4} -.558742{col 70}{space 3} 3.536713
{txt}{space 12}69  {c |}{col 17}{res}{space 2} 2.719051{col 29}{space 2}  1.02894{col 40}{space 1}    2.64{col 49}{space 3}0.008{col 57}{space 4} .7023655{col 70}{space 3} 4.735736
{txt}{space 12}71  {c |}{col 17}{res}{space 2} 1.798406{col 29}{space 2} 1.073946{col 40}{space 1}    1.67{col 49}{space 3}0.094{col 57}{space 4}-.3064891{col 70}{space 3} 3.903302
{txt}{space 12}78  {c |}{col 17}{res}{space 2} 1.925385{col 29}{space 2} 1.123497{col 40}{space 1}    1.71{col 49}{space 3}0.087{col 57}{space 4}-.2766283{col 70}{space 3} 4.127398
{txt}{space 11}109  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}150  {c |}{col 17}{res}{space 2} 1.263131{col 29}{space 2} 1.121817{col 40}{space 1}    1.13{col 49}{space 3}0.260{col 57}{space 4}-.9355899{col 70}{space 3} 3.461853
{txt}{space 11}184  {c |}{col 17}{res}{space 2} 1.416834{col 29}{space 2} 1.084157{col 40}{space 1}    1.31{col 49}{space 3}0.191{col 57}{space 4}-.7080739{col 70}{space 3} 3.541742
{txt}{space 11}188  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (empty)
{space 11}232  {c |}{col 17}{res}{space 2} 2.606468{col 29}{space 2} 1.032983{col 40}{space 1}    2.52{col 49}{space 3}0.012{col 57}{space 4}  .581859{col 70}{space 3} 4.631078
{txt}{space 11}238  {c |}{col 17}{res}{space 2} 1.573195{col 29}{space 2} 1.064636{col 40}{space 1}    1.48{col 49}{space 3}0.139{col 57}{space 4}-.5134537{col 70}{space 3} 3.659843
{txt}{space 11}265  {c |}{col 17}{res}{space 2} 1.281924{col 29}{space 2} 1.057369{col 40}{space 1}    1.21{col 49}{space 3}0.225{col 57}{space 4}-.7904817{col 70}{space 3} 3.354329
{txt}{space 11}290  {c |}{col 17}{res}{space 2} 1.982464{col 29}{space 2} 1.084497{col 40}{space 1}    1.83{col 49}{space 3}0.068{col 57}{space 4}-.1431116{col 70}{space 3}  4.10804
{txt}{space 11}320  {c |}{col 17}{res}{space 2} 1.588226{col 29}{space 2} 1.099291{col 40}{space 1}    1.44{col 49}{space 3}0.149{col 57}{space 4}-.5663446{col 70}{space 3} 3.742797
{txt}{space 11}323  {c |}{col 17}{res}{space 2} 2.911386{col 29}{space 2} 1.029096{col 40}{space 1}    2.83{col 49}{space 3}0.005{col 57}{space 4} .8943944{col 70}{space 3} 4.928378
{txt}{space 11}376  {c |}{col 17}{res}{space 2} 2.040126{col 29}{space 2} 1.064886{col 40}{space 1}    1.92{col 49}{space 3}0.055{col 57}{space 4}-.0470112{col 70}{space 3} 4.127263
{txt}{space 11}387  {c |}{col 17}{res}{space 2} .6259643{col 29}{space 2} 1.158844{col 40}{space 1}    0.54{col 49}{space 3}0.589{col 57}{space 4}-1.645328{col 70}{space 3} 2.897257
{txt}{space 11}390  {c |}{col 17}{res}{space 2} .5772743{col 29}{space 2} 1.228021{col 40}{space 1}    0.47{col 49}{space 3}0.638{col 57}{space 4}-1.829602{col 70}{space 3} 2.984151
{txt}{space 11}395  {c |}{col 17}{res}{space 2} .2584289{col 29}{space 2} 1.157805{col 40}{space 1}    0.22{col 49}{space 3}0.823{col 57}{space 4}-2.010826{col 70}{space 3} 2.527684
{txt}{space 11}398  {c |}{col 17}{res}{space 2} 2.194149{col 29}{space 2} 1.084868{col 40}{space 1}    2.02{col 49}{space 3}0.043{col 57}{space 4} .0678467{col 70}{space 3} 4.320451
{txt}{space 11}401  {c |}{col 17}{res}{space 2} .2829668{col 29}{space 2} 1.227978{col 40}{space 1}    0.23{col 49}{space 3}0.818{col 57}{space 4}-2.123825{col 70}{space 3} 2.689759
{txt}{space 11}409  {c |}{col 17}{res}{space 2} 3.373975{col 29}{space 2} 1.019992{col 40}{space 1}    3.31{col 49}{space 3}0.001{col 57}{space 4} 1.374827{col 70}{space 3} 5.373122
{txt}{space 11}428  {c |}{col 17}{res}{space 2} 3.267487{col 29}{space 2} 1.023201{col 40}{space 1}    3.19{col 49}{space 3}0.001{col 57}{space 4} 1.262051{col 70}{space 3} 5.272924
{txt}{space 11}436  {c |}{col 17}{res}{space 2} 1.409698{col 29}{space 2} 1.083818{col 40}{space 1}    1.30{col 49}{space 3}0.193{col 57}{space 4}-.7145456{col 70}{space 3} 3.533941
{txt}{space 11}441  {c |}{col 17}{res}{space 2} 3.741826{col 29}{space 2} 1.016282{col 40}{space 1}    3.68{col 49}{space 3}0.000{col 57}{space 4}  1.74995{col 70}{space 3} 5.733702
{txt}{space 11}464  {c |}{col 17}{res}{space 2}  2.50997{col 29}{space 2} 1.031867{col 40}{space 1}    2.43{col 49}{space 3}0.015{col 57}{space 4} .4875474{col 70}{space 3} 4.532393
{txt}{space 11}483  {c |}{col 17}{res}{space 2} 1.656555{col 29}{space 2} 1.057874{col 40}{space 1}    1.57{col 49}{space 3}0.117{col 57}{space 4}-.4168393{col 70}{space 3} 3.729949
{txt}{space 11}508  {c |}{col 17}{res}{space 2}        0{col 29}{txt}  (omitted)
{space 15} {c |}
{space 10}_cons {c |}{col 17}{res}{space 2}-6.189265{col 29}{space 2} 1.072025{col 40}{space 1}   -5.77{col 49}{space 3}0.000{col 57}{space 4}-8.290395{col 70}{space 3}-4.088136
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 72 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}4,376{col 51}{txt}missing .:  {res}0{txt}/{res}90,662

{txt}{col 19}mean:{res}{col 26} 27034.9
{txt}{col 15}std. dev:{res}{col 26} 15329.1

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6935{col 37}   14314{col 47}   25893{col 57}   39970{col 67}   49996

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}70{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}26{col 51}{txt}missing .:  {res}0{txt}/{res}90,662

{txt}{col 19}mean:{res}{col 26} 389.772
{txt}{col 15}std. dev:{res}{col 26}  225.12

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     135{col 37}     145{col 47}     360{col 57}     560{col 67}     732

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}27{txt},{res}508{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}27{col 51}{txt}missing .:  {res}0{txt}/{res}90,662

{txt}{col 19}mean:{res}{col 26} 285.142
{txt}{col 15}std. dev:{res}{col 26} 141.646

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      62{col 37}     184{col 47}     320{col 57}     401{col 67}     436
{txt}
{com}. 
. *** Model 5 ***
. logit major_frev $ind female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid if mean_polyarchy>.6

{txt}note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: prev_gwf_personal omitted because of collinearity
note: 436.gwf_caseid omitted because of collinearity
note: 483.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2045.8412}  
Iteration 1:{space 3}log likelihood = {res:-1945.7472}  
Iteration 2:{space 3}log likelihood = {res:-1514.3659}  
Iteration 3:{space 3}log likelihood = {res:-1339.4742}  
Iteration 4:{space 3}log likelihood = {res:-1319.8891}  
Iteration 5:{space 3}log likelihood = {res:-1318.7704}  
Iteration 6:{space 3}log likelihood = {res:-1318.7656}  
Iteration 7:{space 3}log likelihood = {res:-1318.7656}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}    90,313
{txt}{col 49}LR chi2({res}38{txt}){col 67}= {res}   1454.15
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1318.7656{txt}{col 49}Pseudo R2{col 67}= {res}    0.3554

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}prev_core {c |}{col 19}{res}{space 2} 2.136921{col 31}{space 2} .3681517{col 42}{space 1}    5.80{col 51}{space 3}0.000{col 59}{space 4} 1.415357{col 72}{space 3} 2.858485
{txt}{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.1709858{col 31}{space 2} .0259709{col 42}{space 1}   -6.58{col 51}{space 3}0.000{col 59}{space 4}-.2218879{col 72}{space 3}-.1200838
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .1219214{col 31}{space 2} .1621996{col 42}{space 1}    0.75{col 51}{space 3}0.452{col 59}{space 4}-.1959841{col 72}{space 3} .4398268
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2} .1835936{col 31}{space 2}  .311659{col 42}{space 1}    0.59{col 51}{space 3}0.556{col 59}{space 4}-.4272469{col 72}{space 3}  .794434
{txt}{space 11}female {c |}{col 19}{res}{space 2}-.1644761{col 31}{space 2} .2630624{col 42}{space 1}   -0.63{col 51}{space 3}0.532{col 59}{space 4}-.6800689{col 72}{space 3} .3511168
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2} -1.18565{col 31}{space 2} .3003266{col 42}{space 1}   -3.95{col 51}{space 3}0.000{col 59}{space 4} -1.77428{col 72}{space 3}-.5970208
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2}-.0948806{col 31}{space 2}  .302278{col 42}{space 1}   -0.31{col 51}{space 3}0.754{col 59}{space 4}-.6873345{col 72}{space 3} .4975733
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}   10.826{col 31}{space 2} 5.134228{col 42}{space 1}    2.11{col 51}{space 3}0.035{col 59}{space 4} .7630984{col 72}{space 3}  20.8889
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2} 5.752405{col 31}{space 2} 2.405121{col 42}{space 1}    2.39{col 51}{space 3}0.017{col 59}{space 4} 1.038454{col 72}{space 3} 10.46636
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2} 1.765775{col 31}{space 2} .6644288{col 42}{space 1}    2.66{col 51}{space 3}0.008{col 59}{space 4} .4635188{col 72}{space 3} 3.068032
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-3.326118{col 31}{space 2}  1.15623{col 42}{space 1}   -2.88{col 51}{space 3}0.004{col 59}{space 4}-5.592287{col 72}{space 3} -1.05995
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} 5.108587{col 31}{space 2} 1.983274{col 42}{space 1}    2.58{col 51}{space 3}0.010{col 59}{space 4} 1.221441{col 72}{space 3} 8.995733
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2}-.1542119{col 31}{space 2} .0541534{col 42}{space 1}   -2.85{col 51}{space 3}0.004{col 59}{space 4}-.2603506{col 72}{space 3}-.0480732
{txt}{space 4}yr_since_exit {c |}{col 19}{res}{space 2} -.227285{col 31}{space 2} .0192778{col 42}{space 1}  -11.79{col 51}{space 3}0.000{col 59}{space 4}-.2650688{col 72}{space 3}-.1895012
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2} 12.84883{col 31}{space 2}  4.90732{col 42}{space 1}    2.62{col 51}{space 3}0.009{col 59}{space 4} 3.230664{col 72}{space 3}   22.467
{txt}{space 14}51  {c |}{col 19}{res}{space 2} 14.21675{col 31}{space 2}  4.32726{col 42}{space 1}    3.29{col 51}{space 3}0.001{col 59}{space 4} 5.735471{col 72}{space 3} 22.69802
{txt}{space 14}62  {c |}{col 19}{res}{space 2} .2040899{col 31}{space 2} 1.814911{col 42}{space 1}    0.11{col 51}{space 3}0.910{col 59}{space 4} -3.35307{col 72}{space 3}  3.76125
{txt}{space 14}69  {c |}{col 19}{res}{space 2}-15.62508{col 31}{space 2} 7.649051{col 42}{space 1}   -2.04{col 51}{space 3}0.041{col 59}{space 4}-30.61695{col 72}{space 3}-.6332184
{txt}{space 14}71  {c |}{col 19}{res}{space 2} 2.127641{col 31}{space 2} .7565345{col 42}{space 1}    2.81{col 51}{space 3}0.005{col 59}{space 4} .6448601{col 72}{space 3} 3.610421
{txt}{space 14}78  {c |}{col 19}{res}{space 2} 6.287439{col 31}{space 2} 2.188054{col 42}{space 1}    2.87{col 51}{space 3}0.004{col 59}{space 4} 1.998933{col 72}{space 3} 10.57595
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2}-2.897551{col 31}{space 2} 2.245517{col 42}{space 1}   -1.29{col 51}{space 3}0.197{col 59}{space 4}-7.298683{col 72}{space 3} 1.503582
{txt}{space 13}184  {c |}{col 19}{res}{space 2} 4.616458{col 31}{space 2}  1.85775{col 42}{space 1}    2.48{col 51}{space 3}0.013{col 59}{space 4} .9753348{col 72}{space 3} 8.257582
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}232  {c |}{col 19}{res}{space 2} .6312475{col 31}{space 2}  .474197{col 42}{space 1}    1.33{col 51}{space 3}0.183{col 59}{space 4}-.2981616{col 72}{space 3} 1.560657
{txt}{space 13}238  {c |}{col 19}{res}{space 2}-13.85922{col 31}{space 2} 5.781767{col 42}{space 1}   -2.40{col 51}{space 3}0.017{col 59}{space 4}-25.19128{col 72}{space 3}-2.527167
{txt}{space 13}265  {c |}{col 19}{res}{space 2}-12.72412{col 31}{space 2}  5.42423{col 42}{space 1}   -2.35{col 51}{space 3}0.019{col 59}{space 4}-23.35541{col 72}{space 3}-2.092822
{txt}{space 13}290  {c |}{col 19}{res}{space 2} 16.41911{col 31}{space 2} 5.414538{col 42}{space 1}    3.03{col 51}{space 3}0.002{col 59}{space 4} 5.806808{col 72}{space 3} 27.03141
{txt}{space 13}320  {c |}{col 19}{res}{space 2}-11.94245{col 31}{space 2} 4.442006{col 42}{space 1}   -2.69{col 51}{space 3}0.007{col 59}{space 4}-20.64862{col 72}{space 3}-3.236279
{txt}{space 13}323  {c |}{col 19}{res}{space 2} 11.49157{col 31}{space 2} 3.549302{col 42}{space 1}    3.24{col 51}{space 3}0.001{col 59}{space 4} 4.535069{col 72}{space 3} 18.44808
{txt}{space 13}376  {c |}{col 19}{res}{space 2} 3.259079{col 31}{space 2} 1.131768{col 42}{space 1}    2.88{col 51}{space 3}0.004{col 59}{space 4} 1.040854{col 72}{space 3} 5.477304
{txt}{space 13}387  {c |}{col 19}{res}{space 2}-7.286921{col 31}{space 2}  3.70262{col 42}{space 1}   -1.97{col 51}{space 3}0.049{col 59}{space 4}-14.54392{col 72}{space 3}-.0299197
{txt}{space 13}390  {c |}{col 19}{res}{space 2} .9508867{col 31}{space 2} 1.259247{col 42}{space 1}    0.76{col 51}{space 3}0.450{col 59}{space 4}-1.517192{col 72}{space 3} 3.418965
{txt}{space 13}395  {c |}{col 19}{res}{space 2}-7.239576{col 31}{space 2} 2.481381{col 42}{space 1}   -2.92{col 51}{space 3}0.004{col 59}{space 4}-12.10299{col 72}{space 3}-2.376159
{txt}{space 13}398  {c |}{col 19}{res}{space 2} 7.206962{col 31}{space 2} 2.887383{col 42}{space 1}    2.50{col 51}{space 3}0.013{col 59}{space 4} 1.547795{col 72}{space 3} 12.86613
{txt}{space 13}401  {c |}{col 19}{res}{space 2}-3.464498{col 31}{space 2} 1.613306{col 42}{space 1}   -2.15{col 51}{space 3}0.032{col 59}{space 4} -6.62652{col 72}{space 3}-.3024766
{txt}{space 13}409  {c |}{col 19}{res}{space 2} 5.874939{col 31}{space 2} 1.285239{col 42}{space 1}    4.57{col 51}{space 3}0.000{col 59}{space 4} 3.355917{col 72}{space 3} 8.393961
{txt}{space 13}428  {c |}{col 19}{res}{space 2}-4.437628{col 31}{space 2} 2.643869{col 42}{space 1}   -1.68{col 51}{space 3}0.093{col 59}{space 4}-9.619516{col 72}{space 3} .7442602
{txt}{space 13}436  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}441  {c |}{col 19}{res}{space 2}-1.722092{col 31}{space 2} 1.367742{col 42}{space 1}   -1.26{col 51}{space 3}0.208{col 59}{space 4}-4.402817{col 72}{space 3} .9586324
{txt}{space 13}464  {c |}{col 19}{res}{space 2}-5.050872{col 31}{space 2} 1.744273{col 42}{space 1}   -2.90{col 51}{space 3}0.004{col 59}{space 4}-8.469585{col 72}{space 3}-1.632159
{txt}{space 13}483  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2} -73.4039{col 31}{space 2} 22.87489{col 42}{space 1}   -3.21{col 51}{space 3}0.001{col 59}{space 4}-118.2379{col 72}{space 3}-28.56995
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 674 failures and 0 successes completely determined.{p_end}

{com}. codebook newid ccode gwf_caseid if e(sample)

{txt}{hline}
{res}newid{right:group(name ccode)}
{txt}{hline}

{col 19}type:  numeric ({res}float{txt})

{col 18}range:  [{res}1{txt},{res}55826{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}4,368{col 51}{txt}missing .:  {res}0{txt}/{res}90,313

{txt}{col 19}mean:{res}{col 26} 27036.4
{txt}{col 15}std. dev:{res}{col 26} 15324.4

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}    6867{col 37}   14325{col 47}   25896{col 57}   39970{col 67}   49983

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}70{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}26{col 51}{txt}missing .:  {res}0{txt}/{res}90,313

{txt}{col 19}mean:{res}{col 26} 388.815
{txt}{col 15}std. dev:{res}{col 26} 224.905

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}     135{col 37}     145{col 47}     360{col 57}     560{col 67}     732

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}27{txt},{res}508{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}27{col 51}{txt}missing .:  {res}0{txt}/{res}90,313

{txt}{col 19}mean:{res}{col 26} 284.614
{txt}{col 15}std. dev:{res}{col 26} 141.575

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      62{col 37}     184{col 47}     320{col 57}     401{col 67}     436
{txt}
{com}. 
. 
. *** Table A22 ***
. use "MainData_ARD_PoP.dta", clear
{txt}
{com}. 
. *** Model 1 ***
. logit major_frev i.prev_core##c.yr_t  NUML_aut prev_prestige_2 prev_military  female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

note: yr_t omitted because of collinearity
note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6161.6342}  
Iteration 1:{space 3}log likelihood = {res:-5527.7434}  
Iteration 2:{space 3}log likelihood = {res:-4843.7407}  
Iteration 3:{space 3}log likelihood = {res:-4545.1773}  
Iteration 4:{space 3}log likelihood = {res:-4522.2117}  
Iteration 5:{space 3}log likelihood = {res:-4484.9389}  
Iteration 6:{space 3}log likelihood = {res:-4484.9338}  
Iteration 7:{space 3}log likelihood = {res:-4484.9335}  
Iteration 8:{space 3}log likelihood = {res:-4484.9335}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-4484.9335}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-4484.9335}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4484.9335}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4484.9335}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4484.9335}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4484.9335}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4484.9335}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4484.9335}  (backed up)
Iteration 17:{space 2}log likelihood = {res: -4431.821}  (backed up)
Iteration 18:{space 2}log likelihood = {res: -4344.444}  (backed up)
Iteration 19:{space 2}log likelihood = {res:-4334.6696}  
Iteration 20:{space 2}log likelihood = {res:-4334.5454}  
Iteration 21:{space 2}log likelihood = {res:-4334.5454}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,408
{txt}{col 49}LR chi2({res}101{txt}){col 67}= {res}   3654.18
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4334.5454{txt}{col 49}Pseudo R2{col 67}= {res}    0.2965

{txt}{hline 18}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}       major_frev{col 19}{c |}      Coef.{col 31}   Std. Err.{col 43}      z{col 51}   P>|z|{col 59}     [95% Con{col 72}f. Interval]
{hline 18}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}1.prev_core {c |}{col 19}{res}{space 2} 1.635327{col 31}{space 2} .2285915{col 42}{space 1}    7.15{col 51}{space 3}0.000{col 59}{space 4} 1.187296{col 72}{space 3} 2.083359
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2}-.0591335{col 31}{space 2} .0459337{col 42}{space 1}   -1.29{col 51}{space 3}0.198{col 59}{space 4} -.149162{col 72}{space 3}  .030895
{txt}{space 17} {c |}
{space 1}prev_core#c.yr_t {c |}
{space 15}1  {c |}{col 19}{res}{space 2}-.1121167{col 31}{space 2} .0385147{col 42}{space 1}   -2.91{col 51}{space 3}0.004{col 59}{space 4}-.1876041{col 72}{space 3}-.0366293
{txt}{space 17} {c |}
{space 9}NUML_aut {c |}{col 19}{res}{space 2}-.1094247{col 31}{space 2} .0136273{col 42}{space 1}   -8.03{col 51}{space 3}0.000{col 59}{space 4}-.1361337{col 72}{space 3}-.0827157
{txt}{space 2}prev_prestige_2 {c |}{col 19}{res}{space 2} .2502634{col 31}{space 2} .0889788{col 42}{space 1}    2.81{col 51}{space 3}0.005{col 59}{space 4} .0758682{col 72}{space 3} .4246586
{txt}{space 4}prev_military {c |}{col 19}{res}{space 2}-.2119097{col 31}{space 2} .1805443{col 42}{space 1}   -1.17{col 51}{space 3}0.241{col 59}{space 4}  -.56577{col 72}{space 3} .1419506
{txt}{space 11}female {c |}{col 19}{res}{space 2} .1009177{col 31}{space 2} .1275407{col 42}{space 1}    0.79{col 51}{space 3}0.429{col 59}{space 4}-.1490574{col 72}{space 3} .3508929
{txt}{space 6}1.dem_const {c |}{col 19}{res}{space 2} -.731876{col 31}{space 2} .2174716{col 42}{space 1}   -3.37{col 51}{space 3}0.001{col 59}{space 4}-1.158113{col 72}{space 3}-.3056395
{txt}{space 8}1.coldwar {c |}{col 19}{res}{space 2} -.172329{col 31}{space 2} .2202295{col 42}{space 1}   -0.78{col 51}{space 3}0.434{col 59}{space 4}-.6039709{col 72}{space 3} .2593129
{txt}prev_gwf_military {c |}{col 19}{res}{space 2}-3.496021{col 31}{space 2} 2.570369{col 42}{space 1}   -1.36{col 51}{space 3}0.174{col 59}{space 4}-8.533852{col 72}{space 3} 1.541811
{txt}{space 3}prev_gwf_party {c |}{col 19}{res}{space 2}-1.735409{col 31}{space 2} .7635333{col 42}{space 1}   -2.27{col 51}{space 3}0.023{col 59}{space 4}-3.231907{col 72}{space 3}-.2389116
{txt}prev_gwf_personal {c |}{col 19}{res}{space 2}-2.338411{col 31}{space 2} .6614209{col 42}{space 1}   -3.54{col 51}{space 3}0.000{col 59}{space 4}-3.634772{col 72}{space 3} -1.04205
{txt}{space 7}lrgdpopct1 {c |}{col 19}{res}{space 2} 1.726456{col 31}{space 2} .4399728{col 42}{space 1}    3.92{col 51}{space 3}0.000{col 59}{space 4}  .864125{col 72}{space 3} 2.588787
{txt}{space 2}rgdpopc_1yrcht1 {c |}{col 19}{res}{space 2}-2.411859{col 31}{space 2} .6335221{col 42}{space 1}   -3.81{col 51}{space 3}0.000{col 59}{space 4} -3.65354{col 72}{space 3}-1.170179
{txt}{space 9}litpopt1 {c |}{col 19}{res}{space 2} .9214552{col 31}{space 2} 1.113226{col 42}{space 1}    0.83{col 51}{space 3}0.408{col 59}{space 4}-1.260428{col 72}{space 3} 3.103338
{txt}{space 13}yr_t {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 4}yr_since_exit {c |}{col 19}{res}{space 2}-.1840405{col 31}{space 2} .0082517{col 42}{space 1}  -22.30{col 51}{space 3}0.000{col 59}{space 4}-.2002135{col 72}{space 3}-.1678675
{txt}{space 17} {c |}
{space 7}gwf_caseid {c |}
{space 14}11  {c |}{col 19}{res}{space 2} .7844103{col 31}{space 2} 1.790965{col 42}{space 1}    0.44{col 51}{space 3}0.661{col 59}{space 4}-2.725818{col 72}{space 3} 4.294638
{txt}{space 14}21  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}23  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}27  {c |}{col 19}{res}{space 2} .7117913{col 31}{space 2} 2.699795{col 42}{space 1}    0.26{col 51}{space 3}0.792{col 59}{space 4}-4.579711{col 72}{space 3} 6.003293
{txt}{space 14}31  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}36  {c |}{col 19}{res}{space 2} .2871883{col 31}{space 2} 1.359639{col 42}{space 1}    0.21{col 51}{space 3}0.833{col 59}{space 4}-2.377655{col 72}{space 3} 2.952032
{txt}{space 14}38  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 14}51  {c |}{col 19}{res}{space 2} 4.530552{col 31}{space 2} 2.214168{col 42}{space 1}    2.05{col 51}{space 3}0.041{col 59}{space 4} .1908629{col 72}{space 3} 8.870242
{txt}{space 14}62  {c |}{col 19}{res}{space 2} 3.201661{col 31}{space 2} 1.350088{col 42}{space 1}    2.37{col 51}{space 3}0.018{col 59}{space 4} .5555375{col 72}{space 3} 5.847785
{txt}{space 14}69  {c |}{col 19}{res}{space 2} .2212908{col 31}{space 2} 4.369902{col 42}{space 1}    0.05{col 51}{space 3}0.960{col 59}{space 4} -8.34356{col 72}{space 3} 8.786141
{txt}{space 14}71  {c |}{col 19}{res}{space 2}-.7504722{col 31}{space 2} .9012969{col 42}{space 1}   -0.83{col 51}{space 3}0.405{col 59}{space 4}-2.516982{col 72}{space 3} 1.016037
{txt}{space 14}78  {c |}{col 19}{res}{space 2} 1.600856{col 31}{space 2} 1.025667{col 42}{space 1}    1.56{col 51}{space 3}0.119{col 59}{space 4} -.409414{col 72}{space 3} 3.611126
{txt}{space 14}82  {c |}{col 19}{res}{space 2} 4.986793{col 31}{space 2} 1.441735{col 42}{space 1}    3.46{col 51}{space 3}0.001{col 59}{space 4} 2.161045{col 72}{space 3} 7.812541
{txt}{space 14}85  {c |}{col 19}{res}{space 2} 3.978374{col 31}{space 2} 1.691109{col 42}{space 1}    2.35{col 51}{space 3}0.019{col 59}{space 4} .6638617{col 72}{space 3} 7.292887
{txt}{space 14}98  {c |}{col 19}{res}{space 2} 6.128218{col 31}{space 2} 1.425611{col 42}{space 1}    4.30{col 51}{space 3}0.000{col 59}{space 4} 3.334072{col 72}{space 3} 8.922365
{txt}{space 13}109  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}120  {c |}{col 19}{res}{space 2} 3.493093{col 31}{space 2} 2.084563{col 42}{space 1}    1.68{col 51}{space 3}0.094{col 59}{space 4}-.5925755{col 72}{space 3} 7.578761
{txt}{space 13}141  {c |}{col 19}{res}{space 2} 1.321142{col 31}{space 2} 2.072309{col 42}{space 1}    0.64{col 51}{space 3}0.524{col 59}{space 4} -2.74051{col 72}{space 3} 5.382793
{txt}{space 13}147  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}150  {c |}{col 19}{res}{space 2} 1.187819{col 31}{space 2}  1.56381{col 42}{space 1}    0.76{col 51}{space 3}0.448{col 59}{space 4}-1.877192{col 72}{space 3}  4.25283
{txt}{space 13}154  {c |}{col 19}{res}{space 2}-1.932332{col 31}{space 2} 4.006938{col 42}{space 1}   -0.48{col 51}{space 3}0.630{col 59}{space 4}-9.785786{col 72}{space 3} 5.921122
{txt}{space 13}159  {c |}{col 19}{res}{space 2} 2.676347{col 31}{space 2} 1.271816{col 42}{space 1}    2.10{col 51}{space 3}0.035{col 59}{space 4}  .183633{col 72}{space 3} 5.169062
{txt}{space 13}170  {c |}{col 19}{res}{space 2} 4.754132{col 31}{space 2} 3.071938{col 42}{space 1}    1.55{col 51}{space 3}0.122{col 59}{space 4}-1.266757{col 72}{space 3} 10.77502
{txt}{space 13}174  {c |}{col 19}{res}{space 2}  .506383{col 31}{space 2} 2.459524{col 42}{space 1}    0.21{col 51}{space 3}0.837{col 59}{space 4}-4.314194{col 72}{space 3} 5.326961
{txt}{space 13}180  {c |}{col 19}{res}{space 2} 3.124059{col 31}{space 2} 1.637304{col 42}{space 1}    1.91{col 51}{space 3}0.056{col 59}{space 4}-.0849982{col 72}{space 3} 6.333117
{txt}{space 13}182  {c |}{col 19}{res}{space 2} 1.009209{col 31}{space 2} 2.020787{col 42}{space 1}    0.50{col 51}{space 3}0.617{col 59}{space 4}-2.951461{col 72}{space 3} 4.969878
{txt}{space 13}184  {c |}{col 19}{res}{space 2} .4857844{col 31}{space 2}  .881934{col 42}{space 1}    0.55{col 51}{space 3}0.582{col 59}{space 4}-1.242774{col 72}{space 3} 2.214343
{txt}{space 13}188  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}196  {c |}{col 19}{res}{space 2}  .598713{col 31}{space 2} 1.810611{col 42}{space 1}    0.33{col 51}{space 3}0.741{col 59}{space 4}-2.950019{col 72}{space 3} 4.147445
{txt}{space 13}200  {c |}{col 19}{res}{space 2} 3.178319{col 31}{space 2} 3.942558{col 42}{space 1}    0.81{col 51}{space 3}0.420{col 59}{space 4}-4.548952{col 72}{space 3} 10.90559
{txt}{space 13}203  {c |}{col 19}{res}{space 2} 6.269779{col 31}{space 2} 3.723235{col 42}{space 1}    1.68{col 51}{space 3}0.092{col 59}{space 4}-1.027628{col 72}{space 3} 13.56719
{txt}{space 13}205  {c |}{col 19}{res}{space 2} 6.539233{col 31}{space 2}  1.52551{col 42}{space 1}    4.29{col 51}{space 3}0.000{col 59}{space 4} 3.549288{col 72}{space 3} 9.529179
{txt}{space 13}209  {c |}{col 19}{res}{space 2} 2.182544{col 31}{space 2} 1.500483{col 42}{space 1}    1.45{col 51}{space 3}0.146{col 59}{space 4}-.7583488{col 72}{space 3} 5.123438
{txt}{space 13}217  {c |}{col 19}{res}{space 2}  1.79369{col 31}{space 2} 1.734722{col 42}{space 1}    1.03{col 51}{space 3}0.301{col 59}{space 4}-1.606304{col 72}{space 3} 5.193683
{txt}{space 13}219  {c |}{col 19}{res}{space 2} 2.546636{col 31}{space 2} 1.592252{col 42}{space 1}    1.60{col 51}{space 3}0.110{col 59}{space 4}-.5741211{col 72}{space 3} 5.667394
{txt}{space 13}222  {c |}{col 19}{res}{space 2} 3.114276{col 31}{space 2} 1.616213{col 42}{space 1}    1.93{col 51}{space 3}0.054{col 59}{space 4}-.0534423{col 72}{space 3} 6.281995
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{txt}{space 13}229  {c |}{col 19}{res}{space 2} 4.280103{col 31}{space 2} 1.182412{col 42}{space 1}    3.62{col 51}{space 3}0.000{col 59}{space 4} 1.962618{col 72}{space 3} 6.597588
{txt}{space 13}232  {c |}{col 19}{res}{space 2}-1.101644{col 31}{space 2}  .766667{col 42}{space 1}   -1.44{col 51}{space 3}0.151{col 59}{space 4}-2.604283{col 72}{space 3} .4009963
{txt}{space 13}238  {c |}{col 19}{res}{space 2}-2.938767{col 31}{space 2} 3.018884{col 42}{space 1}   -0.97{col 51}{space 3}0.330{col 59}{space 4}-8.855671{col 72}{space 3} 2.978136
{txt}{space 13}248  {c |}{col 19}{res}{space 2} -2.91166{col 31}{space 2} 1.369259{col 42}{space 1}   -2.13{col 51}{space 3}0.033{col 59}{space 4}-5.595358{col 72}{space 3}-.2279625
{txt}{space 13}255  {c |}{col 19}{res}{space 2} 1.837263{col 31}{space 2} .7461289{col 42}{space 1}    2.46{col 51}{space 3}0.014{col 59}{space 4} .3748771{col 72}{space 3} 3.299649
{txt}{space 13}260  {c |}{col 19}{res}{space 2} .8991499{col 31}{space 2} 1.048233{col 42}{space 1}    0.86{col 51}{space 3}0.391{col 59}{space 4}-1.155349{col 72}{space 3} 2.953649
{txt}{space 13}265  {c |}{col 19}{res}{space 2}-1.724196{col 31}{space 2} 3.167465{col 42}{space 1}   -0.54{col 51}{space 3}0.586{col 59}{space 4}-7.932313{col 72}{space 3} 4.483922
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{txt}{space 13}290  {c |}{col 19}{res}{space 2}  4.87072{col 31}{space 2} 2.839581{col 42}{space 1}    1.72{col 51}{space 3}0.086{col 59}{space 4}-.6947556{col 72}{space 3}  10.4362
{txt}{space 13}300  {c |}{col 19}{res}{space 2} 3.809929{col 31}{space 2} 1.333397{col 42}{space 1}    2.86{col 51}{space 3}0.004{col 59}{space 4}  1.19652{col 72}{space 3} 6.423339
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{txt}{space 13}304  {c |}{col 19}{res}{space 2} 4.855744{col 31}{space 2} 1.597716{col 42}{space 1}    3.04{col 51}{space 3}0.002{col 59}{space 4} 1.724278{col 72}{space 3} 7.987209
{txt}{space 13}306  {c |}{col 19}{res}{space 2}-1.970194{col 31}{space 2} 1.461825{col 42}{space 1}   -1.35{col 51}{space 3}0.178{col 59}{space 4}-4.835318{col 72}{space 3} .8949305
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{txt}{space 13}320  {c |}{col 19}{res}{space 2}-4.239907{col 31}{space 2} 2.400815{col 42}{space 1}   -1.77{col 51}{space 3}0.077{col 59}{space 4}-8.945418{col 72}{space 3} .4656043
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{txt}{space 13}336  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}341  {c |}{col 19}{res}{space 2} 2.675018{col 31}{space 2}  1.52369{col 42}{space 1}    1.76{col 51}{space 3}0.079{col 59}{space 4}-.3113592{col 72}{space 3} 5.661395
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{txt}{space 13}351  {c |}{col 19}{res}{space 2} 5.156993{col 31}{space 2} 2.278424{col 42}{space 1}    2.26{col 51}{space 3}0.024{col 59}{space 4} .6913644{col 72}{space 3} 9.622622
{txt}{space 13}354  {c |}{col 19}{res}{space 2}-2.838993{col 31}{space 2} 3.829418{col 42}{space 1}   -0.74{col 51}{space 3}0.458{col 59}{space 4}-10.34451{col 72}{space 3} 4.666529
{txt}{space 13}357  {c |}{col 19}{res}{space 2}-.2016777{col 31}{space 2} 4.222604{col 42}{space 1}   -0.05{col 51}{space 3}0.962{col 59}{space 4} -8.47783{col 72}{space 3} 8.074474
{txt}{space 13}362  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (empty)
{space 13}365  {c |}{col 19}{res}{space 2} .9381153{col 31}{space 2} 4.027176{col 42}{space 1}    0.23{col 51}{space 3}0.816{col 59}{space 4}-6.955005{col 72}{space 3} 8.831235
{txt}{space 13}367  {c |}{col 19}{res}{space 2}  .309317{col 31}{space 2}  4.61916{col 42}{space 1}    0.07{col 51}{space 3}0.947{col 59}{space 4}-8.744071{col 72}{space 3} 9.362705
{txt}{space 13}376  {c |}{col 19}{res}{space 2}  2.44111{col 31}{space 2} 1.092662{col 42}{space 1}    2.23{col 51}{space 3}0.025{col 59}{space 4} .2995326{col 72}{space 3} 4.582688
{txt}{space 13}380  {c |}{col 19}{res}{space 2} .7224503{col 31}{space 2} 1.404368{col 42}{space 1}    0.51{col 51}{space 3}0.607{col 59}{space 4}-2.030061{col 72}{space 3} 3.474962
{txt}{space 13}387  {c |}{col 19}{res}{space 2} .3708927{col 31}{space 2} 2.278531{col 42}{space 1}    0.16{col 51}{space 3}0.871{col 59}{space 4}-4.094945{col 72}{space 3}  4.83673
{txt}{space 13}390  {c |}{col 19}{res}{space 2}-1.936824{col 31}{space 2}  .990451{col 42}{space 1}   -1.96{col 51}{space 3}0.051{col 59}{space 4}-3.878072{col 72}{space 3} .0044245
{txt}{space 13}393  {c |}{col 19}{res}{space 2} .6893542{col 31}{space 2} .9171058{col 42}{space 1}    0.75{col 51}{space 3}0.452{col 59}{space 4} -1.10814{col 72}{space 3} 2.486849
{txt}{space 13}395  {c |}{col 19}{res}{space 2}-3.621054{col 31}{space 2} 1.390843{col 42}{space 1}   -2.60{col 51}{space 3}0.009{col 59}{space 4}-6.347057{col 72}{space 3}-.8950517
{txt}{space 13}398  {c |}{col 19}{res}{space 2} .0287348{col 31}{space 2} 1.643485{col 42}{space 1}    0.02{col 51}{space 3}0.986{col 59}{space 4}-3.192438{col 72}{space 3} 3.249907
{txt}{space 13}401  {c |}{col 19}{res}{space 2} -2.37479{col 31}{space 2}  1.02438{col 42}{space 1}   -2.32{col 51}{space 3}0.020{col 59}{space 4}-4.382539{col 72}{space 3}-.3670411
{txt}{space 13}402  {c |}{col 19}{res}{space 2}-8.071472{col 31}{space 2} 3.680135{col 42}{space 1}   -2.19{col 51}{space 3}0.028{col 59}{space 4} -15.2844{col 72}{space 3} -.858539
{txt}{space 13}409  {c |}{col 19}{res}{space 2} 3.481844{col 31}{space 2} .7163321{col 42}{space 1}    4.86{col 51}{space 3}0.000{col 59}{space 4} 2.077859{col 72}{space 3} 4.885829
{txt}{space 13}411  {c |}{col 19}{res}{space 2}-2.500805{col 31}{space 2} .8082589{col 42}{space 1}   -3.09{col 51}{space 3}0.002{col 59}{space 4}-4.084963{col 72}{space 3}-.9166464
{txt}{space 13}417  {c |}{col 19}{res}{space 2} 5.026059{col 31}{space 2} 1.300862{col 42}{space 1}    3.86{col 51}{space 3}0.000{col 59}{space 4} 2.476417{col 72}{space 3} 7.575701
{txt}{space 13}419  {c |}{col 19}{res}{space 2} 4.720506{col 31}{space 2} 2.392237{col 42}{space 1}    1.97{col 51}{space 3}0.048{col 59}{space 4}  .031807{col 72}{space 3} 9.409204
{txt}{space 13}428  {c |}{col 19}{res}{space 2}-.6719004{col 31}{space 2}  1.37443{col 42}{space 1}   -0.49{col 51}{space 3}0.625{col 59}{space 4}-3.365733{col 72}{space 3} 2.021933
{txt}{space 13}436  {c |}{col 19}{res}{space 2}-1.844971{col 31}{space 2} 1.063726{col 42}{space 1}   -1.73{col 51}{space 3}0.083{col 59}{space 4}-3.929835{col 72}{space 3} .2398929
{txt}{space 13}439  {c |}{col 19}{res}{space 2} -.166624{col 31}{space 2} .5929499{col 42}{space 1}   -0.28{col 51}{space 3}0.779{col 59}{space 4}-1.328784{col 72}{space 3} .9955364
{txt}{space 13}441  {c |}{col 19}{res}{space 2}-.4883178{col 31}{space 2}  .847666{col 42}{space 1}   -0.58{col 51}{space 3}0.565{col 59}{space 4}-2.149713{col 72}{space 3} 1.173077
{txt}{space 13}448  {c |}{col 19}{res}{space 2} 3.003706{col 31}{space 2} 2.473032{col 42}{space 1}    1.21{col 51}{space 3}0.225{col 59}{space 4}-1.843348{col 72}{space 3}  7.85076
{txt}{space 13}464  {c |}{col 19}{res}{space 2}-3.751321{col 31}{space 2} 1.264628{col 42}{space 1}   -2.97{col 51}{space 3}0.003{col 59}{space 4}-6.229946{col 72}{space 3}-1.272697
{txt}{space 13}472  {c |}{col 19}{res}{space 2} 2.796704{col 31}{space 2} 3.209803{col 42}{space 1}    0.87{col 51}{space 3}0.384{col 59}{space 4}-3.494394{col 72}{space 3} 9.087802
{txt}{space 13}474  {c |}{col 19}{res}{space 2} 1.420497{col 31}{space 2} 3.383493{col 42}{space 1}    0.42{col 51}{space 3}0.675{col 59}{space 4}-5.211027{col 72}{space 3} 8.052021
{txt}{space 13}476  {c |}{col 19}{res}{space 2}-.0871124{col 31}{space 2} 3.476885{col 42}{space 1}   -0.03{col 51}{space 3}0.980{col 59}{space 4}-6.901681{col 72}{space 3} 6.727457
{txt}{space 13}478  {c |}{col 19}{res}{space 2}-2.524977{col 31}{space 2} 3.727197{col 42}{space 1}   -0.68{col 51}{space 3}0.498{col 59}{space 4} -9.83015{col 72}{space 3} 4.780196
{txt}{space 13}483  {c |}{col 19}{res}{space 2}-1.647984{col 31}{space 2} .7480368{col 42}{space 1}   -2.20{col 51}{space 3}0.028{col 59}{space 4} -3.11411{col 72}{space 3}-.1818593
{txt}{space 13}490  {c |}{col 19}{res}{space 2}-1.646822{col 31}{space 2} 3.319261{col 42}{space 1}   -0.50{col 51}{space 3}0.620{col 59}{space 4}-8.152454{col 72}{space 3}  4.85881
{txt}{space 13}505  {c |}{col 19}{res}{space 2}-2.994316{col 31}{space 2} 1.543549{col 42}{space 1}   -1.94{col 51}{space 3}0.052{col 59}{space 4}-6.019617{col 72}{space 3} .0309842
{txt}{space 13}508  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 13}525  {c |}{col 19}{res}{space 2} .4562843{col 31}{space 2} 1.356316{col 42}{space 1}    0.34{col 51}{space 3}0.737{col 59}{space 4}-2.202046{col 72}{space 3} 3.114615
{txt}{space 13}527  {c |}{col 19}{res}{space 2}        0{col 31}{txt}  (omitted)
{space 17} {c |}
{space 12}_cons {c |}{col 19}{res}{space 2}-24.96398{col 31}{space 2} 12.49781{col 42}{space 1}   -2.00{col 51}{space 3}0.046{col 59}{space 4}-49.45922{col 72}{space 3}-.4687269
{txt}{hline 18}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 17 failures and 0 successes completely determined.{p_end}

{com}. codebook ccode name gwf_caseid if e(sample)

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 423.943
{txt}{col 15}std. dev:{res}{col 26} 236.515

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}name{right:(lastnm) name}
{txt}{hline}

{col 19}type:  string ({res}str59{txt}), but longest is str48

{col 10}unique values:  {res}12,607{col 51}{txt}missing "":  {res}0{txt}/{res}195,408

{txt}{col 15}examples:  {res}"Chung Jae Chull"
{col 26}"Ibrahima Kabassan Keita"
{col 26}"Luis Cordero"
{col 26}"Raghabendra Pratap Bista"

{txt}{col 16}warning:  variable has embedded blanks

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 286.633
{txt}{col 15}std. dev:{res}{col 26} 134.396

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. *** Label variable ***
. lab def prev_corelab 0 "Non-core autocratic cabinet" 1 "Core autocratic cabinet" 
{txt}
{com}. lab val prev_core prev_corelab
{txt}
{com}. 
. *** Figure A7 ***
. margins prev_core, at(yr_t=(1(4)46))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}   195,408
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(major_frev), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{res}{txt}{hline 32}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 33}{c |}{col 45} Delta-method
{col 33}{c |}     Margin{col 45}   Std. Err.{col 57}      z{col 65}   P>|z|{col 73}     [95% Con{col 86}f. Interval]
{hline 32}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}_at#prev_core {c |}
 1#Non-core autocratic cabinet  {c |}{col 33}{res}{space 2} .0021599{col 45}{space 2} .0005022{col 56}{space 1}    4.30{col 65}{space 3}0.000{col 73}{space 4} .0011757{col 86}{space 3} .0031441
{txt}{space 4} 1#Core autocratic cabinet  {c |}{col 33}{res}{space 2} .0093836{col 45}{space 2} .0013205{col 56}{space 1}    7.11{col 65}{space 3}0.000{col 73}{space 4} .0067954{col 86}{space 3} .0119717
{txt} 2#Non-core autocratic cabinet  {c |}{col 33}{res}{space 2} .0017111{col 45}{space 2} .0002592{col 56}{space 1}    6.60{col 65}{space 3}0.000{col 73}{space 4} .0012031{col 86}{space 3} .0022192
{txt}{space 4} 2#Core autocratic cabinet  {c |}{col 33}{res}{space 2} .0048892{col 45}{space 2} .0002145{col 56}{space 1}   22.80{col 65}{space 3}0.000{col 73}{space 4} .0044689{col 86}{space 3} .0053096
{txt} 3#Non-core autocratic cabinet  {c |}{col 33}{res}{space 2} .0013546{col 45}{space 2} .0003254{col 56}{space 1}    4.16{col 65}{space 3}0.000{col 73}{space 4} .0007168{col 86}{space 3} .0019924
{txt}{space 4} 3#Core autocratic cabinet  {c |}{col 33}{res}{space 2} .0025105{col 45}{space 2} .0003169{col 56}{space 1}    7.92{col 65}{space 3}0.000{col 73}{space 4} .0018894{col 86}{space 3} .0031317
{txt} 4#Non-core autocratic cabinet  {c |}{col 33}{res}{space 2} .0010717{col 45}{space 2} .0004277{col 56}{space 1}    2.51{col 65}{space 3}0.012{col 73}{space 4} .0002334{col 86}{space 3}   .00191
{txt}{space 4} 4#Core autocratic cabinet  {c |}{col 33}{res}{space 2} .0012781{col 45}{space 2} .0003224{col 56}{space 1}    3.96{col 65}{space 3}0.000{col 73}{space 4} .0006462{col 86}{space 3} .0019101
{txt} 5#Non-core autocratic cabinet  {c |}{col 33}{res}{space 2} .0008475{col 45}{space 2} .0004856{col 56}{space 1}    1.75{col 65}{space 3}0.081{col 73}{space 4}-.0001041{col 86}{space 3} .0017992
{txt}{space 4} 5#Core autocratic cabinet  {c |}{col 33}{res}{space 2} .0006476{col 45}{space 2} .0002467{col 56}{space 1}    2.62{col 65}{space 3}0.009{col 73}{space 4}  .000164{col 86}{space 3} .0011312
{txt} 6#Non-core autocratic cabinet  {c |}{col 33}{res}{space 2}   .00067{col 45}{space 2} .0005035{col 56}{space 1}    1.33{col 65}{space 3}0.183{col 73}{space 4}-.0003169{col 86}{space 3} .0016569
{txt}{space 4} 6#Core autocratic cabinet  {c |}{col 33}{res}{space 2} .0003273{col 45}{space 2}  .000167{col 56}{space 1}    1.96{col 65}{space 3}0.050{col 73}{space 4} 1.02e-07{col 86}{space 3} .0006546
{txt} 7#Non-core autocratic cabinet  {c |}{col 33}{res}{space 2} .0005295{col 45}{space 2} .0004937{col 56}{space 1}    1.07{col 65}{space 3}0.283{col 73}{space 4}-.0004381{col 86}{space 3} .0014971
{txt}{space 4} 7#Core autocratic cabinet  {c |}{col 33}{res}{space 2} .0001652{col 45}{space 2} .0001056{col 56}{space 1}    1.56{col 65}{space 3}0.118{col 73}{space 4}-.0000417{col 86}{space 3} .0003722
{txt} 8#Non-core autocratic cabinet  {c |}{col 33}{res}{space 2} .0004183{col 45}{space 2} .0004662{col 56}{space 1}    0.90{col 65}{space 3}0.370{col 73}{space 4}-.0004954{col 86}{space 3}  .001332
{txt}{space 4} 8#Core autocratic cabinet  {c |}{col 33}{res}{space 2} .0000833{col 45}{space 2}  .000064{col 56}{space 1}    1.30{col 65}{space 3}0.193{col 73}{space 4}-.0000421{col 86}{space 3} .0002088
{txt} 9#Non-core autocratic cabinet  {c |}{col 33}{res}{space 2} .0003305{col 45}{space 2} .0004286{col 56}{space 1}    0.77{col 65}{space 3}0.441{col 73}{space 4}-.0005096{col 86}{space 3} .0011705
{txt}{space 4} 9#Core autocratic cabinet  {c |}{col 33}{res}{space 2}  .000042{col 45}{space 2} .0000377{col 56}{space 1}    1.12{col 65}{space 3}0.265{col 73}{space 4}-.0000318{col 86}{space 3} .0001159
{txt}10#Non-core autocratic cabinet  {c |}{col 33}{res}{space 2}  .000261{col 45}{space 2} .0003863{col 56}{space 1}    0.68{col 65}{space 3}0.499{col 73}{space 4}-.0004961{col 86}{space 3} .0010181
{txt}{space 4}10#Core autocratic cabinet  {c |}{col 33}{res}{space 2} .0000212{col 45}{space 2} .0000217{col 56}{space 1}    0.98{col 65}{space 3}0.329{col 73}{space 4}-.0000214{col 86}{space 3} .0000638
{txt}11#Non-core autocratic cabinet  {c |}{col 33}{res}{space 2} .0002061{col 45}{space 2} .0003428{col 56}{space 1}    0.60{col 65}{space 3}0.548{col 73}{space 4}-.0004658{col 86}{space 3} .0008781
{txt}{space 4}11#Core autocratic cabinet  {c |}{col 33}{res}{space 2} .0000107{col 45}{space 2} .0000123{col 56}{space 1}    0.87{col 65}{space 3}0.386{col 73}{space 4}-.0000135{col 86}{space 3} .0000348
{txt}12#Non-core autocratic cabinet  {c |}{col 33}{res}{space 2} .0001628{col 45}{space 2} .0003006{col 56}{space 1}    0.54{col 65}{space 3}0.588{col 73}{space 4}-.0004263{col 86}{space 3} .0007519
{txt}{space 4}12#Core autocratic cabinet  {c |}{col 33}{res}{space 2} 5.39e-06{col 45}{space 2} 6.91e-06{col 56}{space 1}    0.78{col 65}{space 3}0.436{col 73}{space 4}-8.15e-06{col 86}{space 3} .0000189
{txt}{hline 32}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, scheme(plotplain) yline(0) legend(pos(6) col(2)) xtitle("Years since transition") ytitle("Autocratic Revolving Doors") title("")
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: yr_t prev_core{p_end}
{res}{txt}
{com}. 
. *** Model 2 ***
. logit major_frev i.prev_core c.NUML_aut##c.yr_t i.prev_prestige_2  prev_military  female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

note: yr_t omitted because of collinearity
note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6161.6342}  
Iteration 1:{space 3}log likelihood = {res:-5522.5729}  
Iteration 2:{space 3}log likelihood = {res:-4838.6869}  
Iteration 3:{space 3}log likelihood = {res:-4539.8756}  
Iteration 4:{space 3}log likelihood = {res:-4517.0219}  
Iteration 5:{space 3}log likelihood = {res:-4479.8467}  
Iteration 6:{space 3}log likelihood = {res: -4479.842}  
Iteration 7:{space 3}log likelihood = {res:-4479.8418}  
Iteration 8:{space 3}log likelihood = {res:-4479.8418}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-4479.8418}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-4479.8418}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4479.8418}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4335.5543}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4332.3305}  
Iteration 14:{space 2}log likelihood = {res:-4329.2468}  
Iteration 15:{space 2}log likelihood = {res:-4329.1705}  
Iteration 16:{space 2}log likelihood = {res:-4329.1705}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,408
{txt}{col 49}LR chi2({res}101{txt}){col 67}= {res}   3664.93
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4329.1705{txt}{col 49}Pseudo R2{col 67}= {res}    0.2974

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              major_frev{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}prev_core {c |}
Core autocratic cabinet  {c |}{col 26}{res}{space 2} 1.217327{col 38}{space 2} .1568342{col 49}{space 1}    7.76{col 58}{space 3}0.000{col 66}{space 4} .9099379{col 79}{space 3} 1.524717
{txt}{space 16}NUML_aut {c |}{col 26}{res}{space 2}-.1590978{col 38}{space 2} .0181395{col 49}{space 1}   -8.77{col 58}{space 3}0.000{col 66}{space 4}-.1946506{col 79}{space 3}-.1235449
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{txt}{space 24} {c |}
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{txt}{space 20}478  {c |}{col 26}{res}{space 2}-2.518456{col 38}{space 2} 3.676072{col 49}{space 1}   -0.69{col 58}{space 3}0.493{col 66}{space 4}-9.723425{col 79}{space 3} 4.686513
{txt}{space 20}483  {c |}{col 26}{res}{space 2}-1.512371{col 38}{space 2} .7426034{col 49}{space 1}   -2.04{col 58}{space 3}0.042{col 66}{space 4}-2.967847{col 79}{space 3}-.0568955
{txt}{space 20}490  {c |}{col 26}{res}{space 2}-1.660809{col 38}{space 2} 3.273229{col 49}{space 1}   -0.51{col 58}{space 3}0.612{col 66}{space 4}-8.076219{col 79}{space 3} 4.754602
{txt}{space 20}505  {c |}{col 26}{res}{space 2}-2.910636{col 38}{space 2} 1.520118{col 49}{space 1}   -1.91{col 58}{space 3}0.056{col 66}{space 4}-5.890012{col 79}{space 3} .0687409
{txt}{space 20}508  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 20}525  {c |}{col 26}{res}{space 2} .3565106{col 38}{space 2} 1.347874{col 49}{space 1}    0.26{col 58}{space 3}0.791{col 66}{space 4}-2.285274{col 79}{space 3} 2.998295
{txt}{space 20}527  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-23.57235{col 38}{space 2} 12.27765{col 49}{space 1}   -1.92{col 58}{space 3}0.055{col 66}{space 4}-47.63611{col 79}{space 3} .4914047
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 60 failures and 0 successes completely determined.{p_end}

{com}. codebook ccode name gwf_caseid if e(sample)

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 423.943
{txt}{col 15}std. dev:{res}{col 26} 236.515

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}name{right:(lastnm) name}
{txt}{hline}

{col 19}type:  string ({res}str59{txt}), but longest is str48

{col 10}unique values:  {res}12,607{col 51}{txt}missing "":  {res}0{txt}/{res}195,408

{txt}{col 15}examples:  {res}"Chung Jae Chull"
{col 26}"Ibrahima Kabassan Keita"
{col 26}"Luis Cordero"
{col 26}"Raghabendra Pratap Bista"

{txt}{col 16}warning:  variable has embedded blanks

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 286.633
{txt}{col 15}std. dev:{res}{col 26} 134.396

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. *** Figure A8 ***
. margins, dydx(NUML_aut) at(yr_t=(1(4)46))
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}   195,408
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(major_frev), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:NUML_aut}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}NUML_aut     {txt}{c |}
{space 9}_at {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0011423{col 26}{space 2} .0002032{col 37}{space 1}   -5.62{col 46}{space 3}0.000{col 54}{space 4}-.0015405{col 67}{space 3}-.0007441
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0004056{col 26}{space 2} .0000598{col 37}{space 1}   -6.79{col 46}{space 3}0.000{col 54}{space 4}-.0005227{col 67}{space 3}-.0002884
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.0001029{col 26}{space 2}   .00004{col 37}{space 1}   -2.57{col 46}{space 3}0.010{col 54}{space 4}-.0001813{col 67}{space 3}-.0000244
{txt}{space 10}4  {c |}{col 14}{res}{space 2} 6.44e-06{col 26}{space 2} .0000283{col 37}{space 1}    0.23{col 46}{space 3}0.820{col 54}{space 4} -.000049{col 67}{space 3} .0000619
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0000388{col 26}{space 2} .0000265{col 37}{space 1}    1.46{col 46}{space 3}0.144{col 54}{space 4}-.0000132{col 67}{space 3} .0000907
{txt}{space 10}6  {c |}{col 14}{res}{space 2} .0000451{col 26}{space 2} .0000309{col 37}{space 1}    1.46{col 46}{space 3}0.144{col 54}{space 4}-.0000153{col 67}{space 3} .0001056
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .0000467{col 26}{space 2} .0000385{col 37}{space 1}    1.21{col 46}{space 3}0.225{col 54}{space 4}-.0000287{col 67}{space 3} .0001222
{txt}{space 10}8  {c |}{col 14}{res}{space 2} .0000516{col 26}{space 2} .0000503{col 37}{space 1}    1.03{col 46}{space 3}0.305{col 54}{space 4} -.000047{col 67}{space 3} .0001502
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .0000618{col 26}{space 2} .0000663{col 37}{space 1}    0.93{col 46}{space 3}0.351{col 54}{space 4}-.0000681{col 67}{space 3} .0001918
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .0000769{col 26}{space 2} .0000876{col 37}{space 1}    0.88{col 46}{space 3}0.380{col 54}{space 4}-.0000948{col 67}{space 3} .0002486
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .0000971{col 26}{space 2} .0001206{col 37}{space 1}    0.80{col 46}{space 3}0.421{col 54}{space 4}-.0001393{col 67}{space 3} .0003334
{txt}{space 9}12  {c |}{col 14}{res}{space 2}  .000124{col 26}{space 2}  .000167{col 37}{space 1}    0.74{col 46}{space 3}0.458{col 54}{space 4}-.0002033{col 67}{space 3} .0004513
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, scheme(plotplain) yline(0) legend(pos(6) col(2)) xtitle("Years since transition") ytitle("Autocratic Revolving Doors") title("")
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: yr_t{p_end}
{res}{txt}
{com}. 
. 
. *** Model 3 ***
. logit major_frev i.prev_core NUML_aut i.prev_prestige_2##c.yr_t  prev_military  female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

note: yr_t omitted because of collinearity
note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6161.6342}  
Iteration 1:{space 3}log likelihood = {res:-5531.8766}  
Iteration 2:{space 3}log likelihood = {res:-4847.2921}  
Iteration 3:{space 3}log likelihood = {res:-4548.2242}  
Iteration 4:{space 3}log likelihood = {res:-4525.5831}  
Iteration 5:{space 3}log likelihood = {res:-4488.3301}  
Iteration 6:{space 3}log likelihood = {res: -4488.325}  
Iteration 7:{space 3}log likelihood = {res:-4488.3248}  
Iteration 8:{space 3}log likelihood = {res:-4488.3247}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-4488.3247}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-4488.3247}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4488.3247}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4488.3247}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4488.3247}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4384.0709}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4367.8129}  
Iteration 16:{space 2}log likelihood = {res:-4350.9846}  
Iteration 17:{space 2}log likelihood = {res:-4340.8565}  
Iteration 18:{space 2}log likelihood = {res:-4338.0017}  
Iteration 19:{space 2}log likelihood = {res:-4337.9423}  
Iteration 20:{space 2}log likelihood = {res:-4337.9423}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,408
{txt}{col 49}LR chi2({res}101{txt}){col 67}= {res}   3647.38
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4337.9423{txt}{col 49}Pseudo R2{col 67}= {res}    0.2960

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              major_frev{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}prev_core {c |}
Core autocratic cabinet  {c |}{col 26}{res}{space 2}  1.21364{col 38}{space 2} .1566806{col 49}{space 1}    7.75{col 58}{space 3}0.000{col 66}{space 4}  .906552{col 79}{space 3} 1.520729
{txt}{space 16}NUML_aut {c |}{col 26}{res}{space 2}-.1092131{col 38}{space 2} .0136221{col 49}{space 1}   -8.02{col 58}{space 3}0.000{col 66}{space 4} -.135912{col 79}{space 3}-.0825142
{txt}{space 7}1.prev_prestige_2 {c |}{col 26}{res}{space 2} .2264238{col 38}{space 2} .1290918{col 49}{space 1}    1.75{col 58}{space 3}0.079{col 66}{space 4}-.0265915{col 79}{space 3} .4794391
{txt}{space 20}yr_t {c |}{col 26}{res}{space 2}-.1613483{col 38}{space 2} .0323506{col 49}{space 1}   -4.99{col 58}{space 3}0.000{col 66}{space 4}-.2247544{col 79}{space 3}-.0979422
{txt}{space 24} {c |}
{space 2}prev_prestige_2#c.yr_t {c |}
{space 22}1  {c |}{col 26}{res}{space 2} .0061371{col 38}{space 2} .0274952{col 49}{space 1}    0.22{col 58}{space 3}0.823{col 66}{space 4}-.0477524{col 79}{space 3} .0600267
{txt}{space 24} {c |}
{space 11}prev_military {c |}{col 26}{res}{space 2}-.2103802{col 38}{space 2} .1804044{col 49}{space 1}   -1.17{col 58}{space 3}0.244{col 66}{space 4}-.5639664{col 79}{space 3}  .143206
{txt}{space 18}female {c |}{col 26}{res}{space 2} .1019661{col 38}{space 2}  .127507{col 49}{space 1}    0.80{col 58}{space 3}0.424{col 66}{space 4}-.1479429{col 79}{space 3} .3518752
{txt}{space 13}1.dem_const {c |}{col 26}{res}{space 2}-.7234622{col 38}{space 2} .2167413{col 49}{space 1}   -3.34{col 58}{space 3}0.001{col 66}{space 4}-1.148267{col 79}{space 3} -.298657
{txt}{space 15}1.coldwar {c |}{col 26}{res}{space 2} -.142179{col 38}{space 2} .2197195{col 49}{space 1}   -0.65{col 58}{space 3}0.518{col 66}{space 4}-.5728213{col 79}{space 3} .2884633
{txt}{space 7}prev_gwf_military {c |}{col 26}{res}{space 2}-3.721067{col 38}{space 2}  2.56261{col 49}{space 1}   -1.45{col 58}{space 3}0.146{col 66}{space 4} -8.74369{col 79}{space 3} 1.301556
{txt}{space 10}prev_gwf_party {c |}{col 26}{res}{space 2}-1.780285{col 38}{space 2} .7617915{col 49}{space 1}   -2.34{col 58}{space 3}0.019{col 66}{space 4}-3.273369{col 79}{space 3}-.2872006
{txt}{space 7}prev_gwf_personal {c |}{col 26}{res}{space 2}-2.298766{col 38}{space 2} .6607694{col 49}{space 1}   -3.48{col 58}{space 3}0.001{col 66}{space 4}-3.593851{col 79}{space 3}-1.003682
{txt}{space 14}lrgdpopct1 {c |}{col 26}{res}{space 2} 1.708356{col 38}{space 2} .4436092{col 49}{space 1}    3.85{col 58}{space 3}0.000{col 66}{space 4} .8388981{col 79}{space 3} 2.577814
{txt}{space 9}rgdpopc_1yrcht1 {c |}{col 26}{res}{space 2}-2.412369{col 38}{space 2} .6332182{col 49}{space 1}   -3.81{col 58}{space 3}0.000{col 66}{space 4}-3.653454{col 79}{space 3}-1.171285
{txt}{space 16}litpopt1 {c |}{col 26}{res}{space 2} .8188756{col 38}{space 2} 1.108558{col 49}{space 1}    0.74{col 58}{space 3}0.460{col 66}{space 4}-1.353859{col 79}{space 3}  2.99161
{txt}{space 20}yr_t {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 11}yr_since_exit {c |}{col 26}{res}{space 2}-.1841575{col 38}{space 2} .0082496{col 49}{space 1}  -22.32{col 58}{space 3}0.000{col 66}{space 4}-.2003264{col 79}{space 3}-.1679885
{txt}{space 24} {c |}
{space 14}gwf_caseid {c |}
{space 21}11  {c |}{col 26}{res}{space 2} .6300527{col 38}{space 2} 1.784274{col 49}{space 1}    0.35{col 58}{space 3}0.724{col 66}{space 4} -2.86706{col 79}{space 3} 4.127165
{txt}{space 21}21  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 21}23  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 21}27  {c |}{col 26}{res}{space 2} .5002854{col 38}{space 2} 2.690597{col 49}{space 1}    0.19{col 58}{space 3}0.852{col 66}{space 4}-4.773187{col 79}{space 3} 5.773758
{txt}{space 21}31  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 21}36  {c |}{col 26}{res}{space 2} .3995017{col 38}{space 2} 1.354778{col 49}{space 1}    0.29{col 58}{space 3}0.768{col 66}{space 4}-2.255815{col 79}{space 3} 3.054818
{txt}{space 21}38  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 21}51  {c |}{col 26}{res}{space 2} 4.342033{col 38}{space 2} 2.208943{col 49}{space 1}    1.97{col 58}{space 3}0.049{col 66}{space 4} .0125836{col 79}{space 3} 8.671482
{txt}{space 21}62  {c |}{col 26}{res}{space 2} 3.251376{col 38}{space 2}  1.35142{col 49}{space 1}    2.41{col 58}{space 3}0.016{col 66}{space 4} .6026412{col 79}{space 3} 5.900111
{txt}{space 21}69  {c |}{col 26}{res}{space 2} .6128761{col 38}{space 2} 4.353093{col 49}{space 1}    0.14{col 58}{space 3}0.888{col 66}{space 4}-7.919029{col 79}{space 3} 9.144781
{txt}{space 21}71  {c |}{col 26}{res}{space 2}-.8030844{col 38}{space 2} .9019655{col 49}{space 1}   -0.89{col 58}{space 3}0.373{col 66}{space 4}-2.570904{col 79}{space 3} .9647355
{txt}{space 21}78  {c |}{col 26}{res}{space 2} 1.523431{col 38}{space 2} 1.023629{col 49}{space 1}    1.49{col 58}{space 3}0.137{col 66}{space 4}-.4828443{col 79}{space 3} 3.529707
{txt}{space 21}82  {c |}{col 26}{res}{space 2} 5.058801{col 38}{space 2} 1.443858{col 49}{space 1}    3.50{col 58}{space 3}0.000{col 66}{space 4} 2.228892{col 79}{space 3}  7.88871
{txt}{space 21}85  {c |}{col 26}{res}{space 2}  4.05894{col 38}{space 2} 1.693664{col 49}{space 1}    2.40{col 58}{space 3}0.017{col 66}{space 4} .7394204{col 79}{space 3}  7.37846
{txt}{space 21}98  {c |}{col 26}{res}{space 2} 6.119217{col 38}{space 2} 1.430699{col 49}{space 1}    4.28{col 58}{space 3}0.000{col 66}{space 4} 3.315097{col 79}{space 3} 8.923336
{txt}{space 20}109  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 20}120  {c |}{col 26}{res}{space 2} 3.305023{col 38}{space 2} 2.077273{col 49}{space 1}    1.59{col 58}{space 3}0.112{col 66}{space 4}-.7663574{col 79}{space 3} 7.376403
{txt}{space 20}141  {c |}{col 26}{res}{space 2} 1.110247{col 38}{space 2} 2.063747{col 49}{space 1}    0.54{col 58}{space 3}0.591{col 66}{space 4}-2.934623{col 79}{space 3} 5.155117
{txt}{space 20}147  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 20}150  {c |}{col 26}{res}{space 2} 1.290313{col 38}{space 2} 1.561517{col 49}{space 1}    0.83{col 58}{space 3}0.409{col 66}{space 4}-1.770204{col 79}{space 3} 4.350829
{txt}{space 20}154  {c |}{col 26}{res}{space 2}-1.528985{col 38}{space 2} 3.992116{col 49}{space 1}   -0.38{col 58}{space 3}0.702{col 66}{space 4}-9.353389{col 79}{space 3} 6.295419
{txt}{space 20}159  {c |}{col 26}{res}{space 2} 2.755486{col 38}{space 2} 1.269967{col 49}{space 1}    2.17{col 58}{space 3}0.030{col 66}{space 4} .2663963{col 79}{space 3} 5.244575
{txt}{space 20}170  {c |}{col 26}{res}{space 2} 4.479584{col 38}{space 2} 3.059572{col 49}{space 1}    1.46{col 58}{space 3}0.143{col 66}{space 4}-1.517067{col 79}{space 3} 10.47624
{txt}{space 20}174  {c |}{col 26}{res}{space 2} .2831162{col 38}{space 2}   2.4517{col 49}{space 1}    0.12{col 58}{space 3}0.908{col 66}{space 4}-4.522128{col 79}{space 3} 5.088361
{txt}{space 20}180  {c |}{col 26}{res}{space 2} 3.230561{col 38}{space 2} 1.635575{col 49}{space 1}    1.98{col 58}{space 3}0.048{col 66}{space 4} .0248922{col 79}{space 3}  6.43623
{txt}{space 20}182  {c |}{col 26}{res}{space 2} 1.134758{col 38}{space 2} 2.018487{col 49}{space 1}    0.56{col 58}{space 3}0.574{col 66}{space 4}-2.821404{col 79}{space 3}  5.09092
{txt}{space 20}184  {c |}{col 26}{res}{space 2} .4220595{col 38}{space 2} .8797792{col 49}{space 1}    0.48{col 58}{space 3}0.631{col 66}{space 4}-1.302276{col 79}{space 3} 2.146395
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{txt}{space 20}248  {c |}{col 26}{res}{space 2}-2.792099{col 38}{space 2} 1.368062{col 49}{space 1}   -2.04{col 58}{space 3}0.041{col 66}{space 4}-5.473451{col 79}{space 3}-.1107463
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{txt}{space 20}302  {c |}{col 26}{res}{space 2} 1.905392{col 38}{space 2} .7532552{col 49}{space 1}    2.53{col 58}{space 3}0.011{col 66}{space 4} .4290392{col 79}{space 3} 3.381745
{txt}{space 20}304  {c |}{col 26}{res}{space 2} 4.711918{col 38}{space 2} 1.593253{col 49}{space 1}    2.96{col 58}{space 3}0.003{col 66}{space 4}   1.5892{col 79}{space 3} 7.834636
{txt}{space 20}306  {c |}{col 26}{res}{space 2}-1.860072{col 38}{space 2} 1.463611{col 49}{space 1}   -1.27{col 58}{space 3}0.204{col 66}{space 4}-4.728697{col 79}{space 3} 1.008553
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{txt}{space 20}334  {c |}{col 26}{res}{space 2} .5354262{col 38}{space 2} .4608563{col 49}{space 1}    1.16{col 58}{space 3}0.245{col 66}{space 4}-.3678355{col 79}{space 3} 1.438688
{txt}{space 20}336  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 20}341  {c |}{col 26}{res}{space 2} 2.532724{col 38}{space 2} 1.518883{col 49}{space 1}    1.67{col 58}{space 3}0.095{col 66}{space 4}-.4442328{col 79}{space 3} 5.509681
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{txt}{space 20}351  {c |}{col 26}{res}{space 2} 5.336338{col 38}{space 2} 2.275478{col 49}{space 1}    2.35{col 58}{space 3}0.019{col 66}{space 4} .8764833{col 79}{space 3} 9.796192
{txt}{space 20}354  {c |}{col 26}{res}{space 2}-2.501303{col 38}{space 2} 3.816247{col 49}{space 1}   -0.66{col 58}{space 3}0.512{col 66}{space 4}-9.981011{col 79}{space 3} 4.978404
{txt}{space 20}357  {c |}{col 26}{res}{space 2} .1918108{col 38}{space 2} 4.206956{col 49}{space 1}    0.05{col 58}{space 3}0.964{col 66}{space 4}-8.053671{col 79}{space 3} 8.437292
{txt}{space 20}362  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 20}365  {c |}{col 26}{res}{space 2} 1.296479{col 38}{space 2} 4.012395{col 49}{space 1}    0.32{col 58}{space 3}0.747{col 66}{space 4}-6.567671{col 79}{space 3}  9.16063
{txt}{space 20}367  {c |}{col 26}{res}{space 2} .7484313{col 38}{space 2} 4.601248{col 49}{space 1}    0.16{col 58}{space 3}0.871{col 66}{space 4}-8.269848{col 79}{space 3} 9.766711
{txt}{space 20}376  {c |}{col 26}{res}{space 2} 2.433289{col 38}{space 2} 1.092164{col 49}{space 1}    2.23{col 58}{space 3}0.026{col 66}{space 4} .2926863{col 79}{space 3} 4.573891
{txt}{space 20}380  {c |}{col 26}{res}{space 2} .6052433{col 38}{space 2} 1.399597{col 49}{space 1}    0.43{col 58}{space 3}0.665{col 66}{space 4}-2.137916{col 79}{space 3} 3.348403
{txt}{space 20}387  {c |}{col 26}{res}{space 2} .5463563{col 38}{space 2} 2.272655{col 49}{space 1}    0.24{col 58}{space 3}0.810{col 66}{space 4}-3.907966{col 79}{space 3} 5.000678
{txt}{space 20}390  {c |}{col 26}{res}{space 2}-1.961786{col 38}{space 2} .9921248{col 49}{space 1}   -1.98{col 58}{space 3}0.048{col 66}{space 4}-3.906315{col 79}{space 3}-.0172571
{txt}{space 20}393  {c |}{col 26}{res}{space 2}  .714697{col 38}{space 2} .9152322{col 49}{space 1}    0.78{col 58}{space 3}0.435{col 66}{space 4}-1.079125{col 79}{space 3} 2.508519
{txt}{space 20}395  {c |}{col 26}{res}{space 2}-3.529911{col 38}{space 2} 1.387299{col 49}{space 1}   -2.54{col 58}{space 3}0.011{col 66}{space 4}-6.248967{col 79}{space 3}-.8108546
{txt}{space 20}398  {c |}{col 26}{res}{space 2}-.1408007{col 38}{space 2} 1.639989{col 49}{space 1}   -0.09{col 58}{space 3}0.932{col 66}{space 4}-3.355119{col 79}{space 3} 3.073518
{txt}{space 20}401  {c |}{col 26}{res}{space 2}-2.336301{col 38}{space 2} 1.024012{col 49}{space 1}   -2.28{col 58}{space 3}0.023{col 66}{space 4}-4.343328{col 79}{space 3}-.3292737
{txt}{space 20}402  {c |}{col 26}{res}{space 2}-7.742371{col 38}{space 2} 3.661505{col 49}{space 1}   -2.11{col 58}{space 3}0.034{col 66}{space 4}-14.91879{col 79}{space 3}-.5659531
{txt}{space 20}409  {c |}{col 26}{res}{space 2} 3.427489{col 38}{space 2} .7168719{col 49}{space 1}    4.78{col 58}{space 3}0.000{col 66}{space 4} 2.022446{col 79}{space 3} 4.832532
{txt}{space 20}411  {c |}{col 26}{res}{space 2} -2.53486{col 38}{space 2} .8118233{col 49}{space 1}   -3.12{col 58}{space 3}0.002{col 66}{space 4}-4.126005{col 79}{space 3}-.9437158
{txt}{space 20}417  {c |}{col 26}{res}{space 2} 5.083822{col 38}{space 2} 1.303138{col 49}{space 1}    3.90{col 58}{space 3}0.000{col 66}{space 4} 2.529718{col 79}{space 3} 7.637926
{txt}{space 20}419  {c |}{col 26}{res}{space 2} 4.497623{col 38}{space 2}  2.38312{col 49}{space 1}    1.89{col 58}{space 3}0.059{col 66}{space 4}-.1732054{col 79}{space 3} 9.168451
{txt}{space 20}428  {c |}{col 26}{res}{space 2}-.5473365{col 38}{space 2} 1.370886{col 49}{space 1}   -0.40{col 58}{space 3}0.690{col 66}{space 4}-3.234223{col 79}{space 3}  2.13955
{txt}{space 20}436  {c |}{col 26}{res}{space 2}-1.863883{col 38}{space 2} 1.066668{col 49}{space 1}   -1.75{col 58}{space 3}0.081{col 66}{space 4}-3.954513{col 79}{space 3} .2267469
{txt}{space 20}439  {c |}{col 26}{res}{space 2}-.1467357{col 38}{space 2}  .592293{col 49}{space 1}   -0.25{col 58}{space 3}0.804{col 66}{space 4}-1.307609{col 79}{space 3} 1.014137
{txt}{space 20}441  {c |}{col 26}{res}{space 2}-.4253444{col 38}{space 2} .8492266{col 49}{space 1}   -0.50{col 58}{space 3}0.616{col 66}{space 4}-2.089798{col 79}{space 3} 1.239109
{txt}{space 20}448  {c |}{col 26}{res}{space 2} 3.206816{col 38}{space 2} 2.466397{col 49}{space 1}    1.30{col 58}{space 3}0.194{col 66}{space 4}-1.627233{col 79}{space 3} 8.040864
{txt}{space 20}464  {c |}{col 26}{res}{space 2}-3.665545{col 38}{space 2} 1.272645{col 49}{space 1}   -2.88{col 58}{space 3}0.004{col 66}{space 4}-6.159884{col 79}{space 3}-1.171207
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{txt}{space 20}483  {c |}{col 26}{res}{space 2}-1.656131{col 38}{space 2} .7503534{col 49}{space 1}   -2.21{col 58}{space 3}0.027{col 66}{space 4}-3.126796{col 79}{space 3}-.1854649
{txt}{space 20}490  {c |}{col 26}{res}{space 2}-1.360772{col 38}{space 2} 3.308189{col 49}{space 1}   -0.41{col 58}{space 3}0.681{col 66}{space 4}-7.844703{col 79}{space 3}  5.12316
{txt}{space 20}505  {c |}{col 26}{res}{space 2}-2.858841{col 38}{space 2} 1.539891{col 49}{space 1}   -1.86{col 58}{space 3}0.063{col 66}{space 4}-5.876972{col 79}{space 3} .1592902
{txt}{space 20}508  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 20}525  {c |}{col 26}{res}{space 2} .3706882{col 38}{space 2} 1.356179{col 49}{space 1}    0.27{col 58}{space 3}0.785{col 66}{space 4}-2.287373{col 79}{space 3}  3.02875
{txt}{space 20}527  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 24} {c |}
{space 19}_cons {c |}{col 26}{res}{space 2}-23.39699{col 38}{space 2} 12.45604{col 49}{space 1}   -1.88{col 58}{space 3}0.060{col 66}{space 4}-47.81039{col 79}{space 3} 1.016401
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 8 failures and 0 successes completely determined.{p_end}

{com}. codebook ccode name gwf_caseid if e(sample)

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 423.943
{txt}{col 15}std. dev:{res}{col 26} 236.515

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}name{right:(lastnm) name}
{txt}{hline}

{col 19}type:  string ({res}str59{txt}), but longest is str48

{col 10}unique values:  {res}12,607{col 51}{txt}missing "":  {res}0{txt}/{res}195,408

{txt}{col 15}examples:  {res}"Chung Jae Chull"
{col 26}"Ibrahima Kabassan Keita"
{col 26}"Luis Cordero"
{col 26}"Raghabendra Pratap Bista"

{txt}{col 16}warning:  variable has embedded blanks

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 286.633
{txt}{col 15}std. dev:{res}{col 26} 134.396

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. *** Label variable ***
. lab def prev_prestige_2lab 0 "Non-prestigious" 1 "Prestigious portfolio" 
{txt}
{com}. lab val prev_prestige_2 prev_prestige_2lab
{txt}
{com}. 
. *** Figure A9 ***
. margins prev_prestige_2, at(yr_t=(1(4)46))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}   195,408
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(major_frev), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{res}{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39} Delta-method
{col 27}{c |}     Margin{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}_at#prev_prestige_2 {c |}
{space 6} 1#Non-prestigious  {c |}{col 27}{res}{space 2} .0078534{col 39}{space 2} .0010928{col 50}{space 1}    7.19{col 59}{space 3}0.000{col 67}{space 4} .0057116{col 80}{space 3} .0099953
{txt} 1#Prestigious portfolio  {c |}{col 27}{res}{space 2}  .009765{col 39}{space 2} .0015607{col 50}{space 1}    6.26{col 59}{space 3}0.000{col 67}{space 4} .0067061{col 80}{space 3} .0128239
{txt}{space 6} 2#Non-prestigious  {c |}{col 27}{res}{space 2} .0042401{col 39}{space 2} .0001964{col 50}{space 1}   21.59{col 59}{space 3}0.000{col 67}{space 4} .0038552{col 80}{space 3}  .004625
{txt} 2#Prestigious portfolio  {c |}{col 27}{res}{space 2}   .00543{col 39}{space 2} .0004593{col 50}{space 1}   11.82{col 59}{space 3}0.000{col 67}{space 4} .0045298{col 80}{space 3} .0063301
{txt}{space 6} 3#Non-prestigious  {c |}{col 27}{res}{space 2} .0022613{col 39}{space 2} .0002971{col 50}{space 1}    7.61{col 59}{space 3}0.000{col 67}{space 4}  .001679{col 80}{space 3} .0028437
{txt} 3#Prestigious portfolio  {c |}{col 27}{res}{space 2} .0029786{col 39}{space 2} .0005402{col 50}{space 1}    5.51{col 59}{space 3}0.000{col 67}{space 4} .0019198{col 80}{space 3} .0040374
{txt}{space 6} 4#Non-prestigious  {c |}{col 27}{res}{space 2} .0011971{col 39}{space 2} .0003085{col 50}{space 1}    3.88{col 59}{space 3}0.000{col 67}{space 4} .0005925{col 80}{space 3} .0018017
{txt} 4#Prestigious portfolio  {c |}{col 27}{res}{space 2} .0016199{col 39}{space 2} .0005268{col 50}{space 1}    3.07{col 59}{space 3}0.002{col 67}{space 4} .0005873{col 80}{space 3} .0026525
{txt}{space 6} 5#Non-prestigious  {c |}{col 27}{res}{space 2}  .000631{col 39}{space 2} .0002442{col 50}{space 1}    2.58{col 59}{space 3}0.010{col 67}{space 4} .0001525{col 80}{space 3} .0011096
{txt} 5#Prestigious portfolio  {c |}{col 27}{res}{space 2} .0008765{col 39}{space 2}  .000417{col 50}{space 1}    2.10{col 59}{space 3}0.036{col 67}{space 4} .0000592{col 80}{space 3} .0016937
{txt}{space 6} 6#Non-prestigious  {c |}{col 27}{res}{space 2} .0003319{col 39}{space 2} .0001715{col 50}{space 1}    1.94{col 59}{space 3}0.053{col 67}{space 4}-4.21e-06{col 80}{space 3} .0006679
{txt} 6#Prestigious portfolio  {c |}{col 27}{res}{space 2} .0004728{col 39}{space 2} .0002969{col 50}{space 1}    1.59{col 59}{space 3}0.111{col 67}{space 4} -.000109{col 80}{space 3} .0010547
{txt}{space 6} 7#Non-prestigious  {c |}{col 27}{res}{space 2} .0001743{col 39}{space 2} .0001127{col 50}{space 1}    1.55{col 59}{space 3}0.122{col 67}{space 4}-.0000465{col 80}{space 3} .0003951
{txt} 7#Prestigious portfolio  {c |}{col 27}{res}{space 2} .0002546{col 39}{space 2} .0001987{col 50}{space 1}    1.28{col 59}{space 3}0.200{col 67}{space 4}-.0001348{col 80}{space 3} .0006441
{txt}{space 6} 8#Non-prestigious  {c |}{col 27}{res}{space 2} .0000915{col 39}{space 2}  .000071{col 50}{space 1}    1.29{col 59}{space 3}0.198{col 67}{space 4}-.0000477{col 80}{space 3} .0002306
{txt} 8#Prestigious portfolio  {c |}{col 27}{res}{space 2}  .000137{col 39}{space 2} .0001278{col 50}{space 1}    1.07{col 59}{space 3}0.284{col 67}{space 4}-.0001135{col 80}{space 3} .0003875
{txt}{space 6} 9#Non-prestigious  {c |}{col 27}{res}{space 2}  .000048{col 39}{space 2} .0000435{col 50}{space 1}    1.10{col 59}{space 3}0.269{col 67}{space 4}-.0000372{col 80}{space 3} .0001332
{txt} 9#Prestigious portfolio  {c |}{col 27}{res}{space 2} .0000737{col 39}{space 2}   .00008{col 50}{space 1}    0.92{col 59}{space 3}0.357{col 67}{space 4}-.0000831{col 80}{space 3} .0002304
{txt}{space 6}10#Non-prestigious  {c |}{col 27}{res}{space 2} .0000252{col 39}{space 2} .0000261{col 50}{space 1}    0.97{col 59}{space 3}0.334{col 67}{space 4}-.0000259{col 80}{space 3} .0000763
{txt}10#Prestigious portfolio  {c |}{col 27}{res}{space 2} .0000396{col 39}{space 2}  .000049{col 50}{space 1}    0.81{col 59}{space 3}0.419{col 67}{space 4}-.0000565{col 80}{space 3} .0001357
{txt}{space 6}11#Non-prestigious  {c |}{col 27}{res}{space 2} .0000132{col 39}{space 2} .0000154{col 50}{space 1}    0.86{col 59}{space 3}0.390{col 67}{space 4}-.0000169{col 80}{space 3} .0000433
{txt}11#Prestigious portfolio  {c |}{col 27}{res}{space 2} .0000213{col 39}{space 2} .0000296{col 50}{space 1}    0.72{col 59}{space 3}0.472{col 67}{space 4}-.0000367{col 80}{space 3} .0000793
{txt}{space 6}12#Non-prestigious  {c |}{col 27}{res}{space 2} 6.93e-06{col 39}{space 2} 8.96e-06{col 50}{space 1}    0.77{col 59}{space 3}0.440{col 67}{space 4}-.0000106{col 80}{space 3} .0000245
{txt}12#Prestigious portfolio  {c |}{col 27}{res}{space 2} .0000114{col 39}{space 2} .0000177{col 50}{space 1}    0.65{col 59}{space 3}0.517{col 67}{space 4}-.0000232{col 80}{space 3} .0000461
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, scheme(plotplain) yline(0) legend(pos(6) col(2)) xtitle("Years since transition") ytitle("Autocratic Revolving Doors") title("")
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: yr_t prev_prestige_2{p_end}
{res}{txt}
{com}. 
. 
. *** Model 4 ***
. logit major_frev i.prev_core NUML_aut i.prev_prestige_2 i.prev_military##c.yr_t   female i.dem_const i.coldwar $pre $macro $time i.gwf_caseid

{txt}note: 21.gwf_caseid != 0 predicts failure perfectly
      21.gwf_caseid dropped and 216 obs not used

note: 23.gwf_caseid != 0 predicts failure perfectly
      23.gwf_caseid dropped and 4514 obs not used

note: 31.gwf_caseid != 0 predicts failure perfectly
      31.gwf_caseid dropped and 10 obs not used

note: 38.gwf_caseid != 0 predicts failure perfectly
      38.gwf_caseid dropped and 1275 obs not used

note: 109.gwf_caseid != 0 predicts failure perfectly
      109.gwf_caseid dropped and 3627 obs not used

note: 147.gwf_caseid != 0 predicts failure perfectly
      147.gwf_caseid dropped and 20 obs not used

note: 188.gwf_caseid != 0 predicts failure perfectly
      188.gwf_caseid dropped and 3634 obs not used

note: 362.gwf_caseid != 0 predicts failure perfectly
      362.gwf_caseid dropped and 136 obs not used

note: yr_t omitted because of collinearity
note: 336.gwf_caseid omitted because of collinearity
note: 508.gwf_caseid omitted because of collinearity
note: 527.gwf_caseid omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-6161.6342}  
Iteration 1:{space 3}log likelihood = {res:-5532.1119}  
Iteration 2:{space 3}log likelihood = {res:-4847.2471}  
Iteration 3:{space 3}log likelihood = {res:-4547.2517}  
Iteration 4:{space 3}log likelihood = {res: -4522.839}  
Iteration 5:{space 3}log likelihood = {res:-4485.1103}  
Iteration 6:{space 3}log likelihood = {res: -4485.101}  
Iteration 7:{space 3}log likelihood = {res:-4485.1006}  
Iteration 8:{space 3}log likelihood = {res:-4485.1005}  (backed up)
Iteration 9:{space 3}log likelihood = {res:-4485.1005}  (backed up)
Iteration 10:{space 2}log likelihood = {res:-4485.1005}  (backed up)
Iteration 11:{space 2}log likelihood = {res:-4485.1005}  (backed up)
Iteration 12:{space 2}log likelihood = {res:-4485.1005}  (backed up)
Iteration 13:{space 2}log likelihood = {res:-4485.1005}  (backed up)
Iteration 14:{space 2}log likelihood = {res:-4485.1005}  (backed up)
Iteration 15:{space 2}log likelihood = {res:-4485.1005}  (backed up)
Iteration 16:{space 2}log likelihood = {res:-4485.1005}  (backed up)
Iteration 17:{space 2}log likelihood = {res:-4448.0915}  (backed up)
Iteration 18:{space 2}log likelihood = {res: -4364.232}  (backed up)
Iteration 19:{space 2}log likelihood = {res: -4345.898}  
Iteration 20:{space 2}log likelihood = {res:-4335.4566}  
Iteration 21:{space 2}log likelihood = {res:-4334.8602}  
Iteration 22:{space 2}log likelihood = {res:-4334.8601}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}   195,408
{txt}{col 49}LR chi2({res}101{txt}){col 67}= {res}   3653.55
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-4334.8601{txt}{col 49}Pseudo R2{col 67}= {res}    0.2965

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}              major_frev{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 15}prev_core {c |}
Core autocratic cabinet  {c |}{col 26}{res}{space 2}  1.21486{col 38}{space 2}  .156645{col 49}{space 1}    7.76{col 58}{space 3}0.000{col 66}{space 4}  .907841{col 79}{space 3} 1.521878
{txt}{space 16}NUML_aut {c |}{col 26}{res}{space 2}-.1091828{col 38}{space 2} .0136097{col 49}{space 1}   -8.02{col 58}{space 3}0.000{col 66}{space 4}-.1358573{col 79}{space 3}-.0825082
{txt}{space 24} {c |}
{space 9}prev_prestige_2 {c |}
{space 2}Prestigious portfolio  {c |}{col 26}{res}{space 2} .2467772{col 38}{space 2}  .088889{col 49}{space 1}    2.78{col 58}{space 3}0.005{col 66}{space 4} .0725579{col 79}{space 3} .4209965
{txt}{space 9}1.prev_military {c |}{col 26}{res}{space 2} .3366794{col 38}{space 2} .2838046{col 49}{space 1}    1.19{col 58}{space 3}0.236{col 66}{space 4}-.2195673{col 79}{space 3} .8929262
{txt}{space 20}yr_t {c |}{col 26}{res}{space 2}-.1548167{col 38}{space 2} .0316417{col 49}{space 1}   -4.89{col 58}{space 3}0.000{col 66}{space 4}-.2168333{col 79}{space 3}-.0928002
{txt}{space 24} {c |}
{space 4}prev_military#c.yr_t {c |}
{space 22}1  {c |}{col 26}{res}{space 2}-.1917121{col 38}{space 2} .0882312{col 49}{space 1}   -2.17{col 58}{space 3}0.030{col 66}{space 4}-.3646421{col 79}{space 3}-.0187821
{txt}{space 24} {c |}
{space 18}female {c |}{col 26}{res}{space 2} .1032801{col 38}{space 2}  .127452{col 49}{space 1}    0.81{col 58}{space 3}0.418{col 66}{space 4}-.1465212{col 79}{space 3} .3530814
{txt}{space 13}1.dem_const {c |}{col 26}{res}{space 2}-.7118003{col 38}{space 2} .2165224{col 49}{space 1}   -3.29{col 58}{space 3}0.001{col 66}{space 4}-1.136176{col 79}{space 3}-.2874242
{txt}{space 15}1.coldwar {c |}{col 26}{res}{space 2}-.1407844{col 38}{space 2} .2199561{col 49}{space 1}   -0.64{col 58}{space 3}0.522{col 66}{space 4}-.5718905{col 79}{space 3} .2903217
{txt}{space 7}prev_gwf_military {c |}{col 26}{res}{space 2}-3.649806{col 38}{space 2} 2.552559{col 49}{space 1}   -1.43{col 58}{space 3}0.153{col 66}{space 4} -8.65273{col 79}{space 3} 1.353117
{txt}{space 10}prev_gwf_party {c |}{col 26}{res}{space 2} -1.75149{col 38}{space 2} .7596516{col 49}{space 1}   -2.31{col 58}{space 3}0.021{col 66}{space 4} -3.24038{col 79}{space 3}-.2626004
{txt}{space 7}prev_gwf_personal {c |}{col 26}{res}{space 2}-2.301418{col 38}{space 2} .6599398{col 49}{space 1}   -3.49{col 58}{space 3}0.000{col 66}{space 4}-3.594876{col 79}{space 3} -1.00796
{txt}{space 14}lrgdpopct1 {c |}{col 26}{res}{space 2}  1.68678{col 38}{space 2} .4431612{col 49}{space 1}    3.81{col 58}{space 3}0.000{col 66}{space 4} .8181996{col 79}{space 3}  2.55536
{txt}{space 9}rgdpopc_1yrcht1 {c |}{col 26}{res}{space 2}-2.389884{col 38}{space 2} .6330642{col 49}{space 1}   -3.78{col 58}{space 3}0.000{col 66}{space 4}-3.630667{col 79}{space 3}-1.149101
{txt}{space 16}litpopt1 {c |}{col 26}{res}{space 2} .8347187{col 38}{space 2} 1.102762{col 49}{space 1}    0.76{col 58}{space 3}0.449{col 66}{space 4}-1.326655{col 79}{space 3} 2.996092
{txt}{space 20}yr_t {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (omitted)
{space 11}yr_since_exit {c |}{col 26}{res}{space 2}-.1840553{col 38}{space 2} .0082476{col 49}{space 1}  -22.32{col 58}{space 3}0.000{col 66}{space 4}-.2002202{col 79}{space 3}-.1678903
{txt}{space 24} {c |}
{space 14}gwf_caseid {c |}
{space 21}11  {c |}{col 26}{res}{space 2} .6548937{col 38}{space 2} 1.775476{col 49}{space 1}    0.37{col 58}{space 3}0.712{col 66}{space 4}-2.824974{col 79}{space 3} 4.134762
{txt}{space 21}21  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 21}23  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 21}27  {c |}{col 26}{res}{space 2} .5781698{col 38}{space 2} 2.678512{col 49}{space 1}    0.22{col 58}{space 3}0.829{col 66}{space 4}-4.671617{col 79}{space 3} 5.827957
{txt}{space 21}31  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 21}36  {c |}{col 26}{res}{space 2} .3716455{col 38}{space 2} 1.349411{col 49}{space 1}    0.28{col 58}{space 3}0.783{col 66}{space 4}-2.273151{col 79}{space 3} 3.016442
{txt}{space 21}38  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 21}51  {c |}{col 26}{res}{space 2} 4.359904{col 38}{space 2} 2.197733{col 49}{space 1}    1.98{col 58}{space 3}0.047{col 66}{space 4} .0524265{col 79}{space 3} 8.667381
{txt}{space 21}62  {c |}{col 26}{res}{space 2} 3.211387{col 38}{space 2} 1.349842{col 49}{space 1}    2.38{col 58}{space 3}0.017{col 66}{space 4} .5657465{col 79}{space 3} 5.857028
{txt}{space 21}69  {c |}{col 26}{res}{space 2} .5333146{col 38}{space 2} 4.331854{col 49}{space 1}    0.12{col 58}{space 3}0.902{col 66}{space 4}-7.956963{col 79}{space 3} 9.023592
{txt}{space 21}71  {c |}{col 26}{res}{space 2}-.7812596{col 38}{space 2} .9003283{col 49}{space 1}   -0.87{col 58}{space 3}0.386{col 66}{space 4}-2.545871{col 79}{space 3} .9833515
{txt}{space 21}78  {c |}{col 26}{res}{space 2}  1.53678{col 38}{space 2} 1.020999{col 49}{space 1}    1.51{col 58}{space 3}0.132{col 66}{space 4}-.4643411{col 79}{space 3}   3.5379
{txt}{space 21}82  {c |}{col 26}{res}{space 2} 5.004834{col 38}{space 2} 1.442855{col 49}{space 1}    3.47{col 58}{space 3}0.001{col 66}{space 4} 2.176891{col 79}{space 3} 7.832777
{txt}{space 21}85  {c |}{col 26}{res}{space 2} 4.013718{col 38}{space 2} 1.691602{col 49}{space 1}    2.37{col 58}{space 3}0.018{col 66}{space 4} .6982392{col 79}{space 3} 7.329197
{txt}{space 21}98  {c |}{col 26}{res}{space 2} 6.060873{col 38}{space 2} 1.430333{col 49}{space 1}    4.24{col 58}{space 3}0.000{col 66}{space 4} 3.257471{col 79}{space 3} 8.864275
{txt}{space 20}109  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 20}120  {c |}{col 26}{res}{space 2} 3.325012{col 38}{space 2} 2.066689{col 49}{space 1}    1.61{col 58}{space 3}0.108{col 66}{space 4}-.7256236{col 79}{space 3} 7.375647
{txt}{space 20}141  {c |}{col 26}{res}{space 2} 1.157272{col 38}{space 2} 2.054775{col 49}{space 1}    0.56{col 58}{space 3}0.573{col 66}{space 4}-2.870013{col 79}{space 3} 5.184556
{txt}{space 20}147  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 20}150  {c |}{col 26}{res}{space 2} 1.262067{col 38}{space 2} 1.557752{col 49}{space 1}    0.81{col 58}{space 3}0.418{col 66}{space 4}-1.791071{col 79}{space 3} 4.315205
{txt}{space 20}154  {c |}{col 26}{res}{space 2}-1.578018{col 38}{space 2} 3.973262{col 49}{space 1}   -0.40{col 58}{space 3}0.691{col 66}{space 4}-9.365469{col 79}{space 3} 6.209434
{txt}{space 20}159  {c |}{col 26}{res}{space 2} 2.729386{col 38}{space 2} 1.268776{col 49}{space 1}    2.15{col 58}{space 3}0.031{col 66}{space 4} .2426312{col 79}{space 3} 5.216141
{txt}{space 20}170  {c |}{col 26}{res}{space 2} 4.533169{col 38}{space 2} 3.044118{col 49}{space 1}    1.49{col 58}{space 3}0.136{col 66}{space 4}-1.433193{col 79}{space 3} 10.49953
{txt}{space 20}174  {c |}{col 26}{res}{space 2} .3723615{col 38}{space 2} 2.438638{col 49}{space 1}    0.15{col 58}{space 3}0.879{col 66}{space 4}-4.407281{col 79}{space 3} 5.152004
{txt}{space 20}180  {c |}{col 26}{res}{space 2} 3.183072{col 38}{space 2} 1.632058{col 49}{space 1}    1.95{col 58}{space 3}0.051{col 66}{space 4}-.0157039{col 79}{space 3} 6.381847
{txt}{space 20}182  {c |}{col 26}{res}{space 2} 1.055848{col 38}{space 2}   2.0145{col 49}{space 1}    0.52{col 58}{space 3}0.600{col 66}{space 4}-2.892499{col 79}{space 3} 5.004196
{txt}{space 20}184  {c |}{col 26}{res}{space 2} .4385304{col 38}{space 2} .8777428{col 49}{space 1}    0.50{col 58}{space 3}0.617{col 66}{space 4}-1.281814{col 79}{space 3} 2.158875
{txt}{space 20}188  {c |}{col 26}{res}{space 2}        0{col 38}{txt}  (empty)
{space 20}196  {c |}{col 26}{res}{space 2} .7173964{col 38}{space 2}  1.80157{col 49}{space 1}    0.40{col 58}{space 3}0.690{col 66}{space 4}-2.813616{col 79}{space 3} 4.248408
{txt}{space 20}200  {c |}{col 26}{res}{space 2} 2.868075{col 38}{space 2} 3.908742{col 49}{space 1}    0.73{col 58}{space 3}0.463{col 66}{space 4}-4.792918{col 79}{space 3} 10.52907
{txt}{space 20}203  {c |}{col 26}{res}{space 2} 5.985773{col 38}{space 2}  3.68943{col 49}{space 1}    1.62{col 58}{space 3}0.105{col 66}{space 4}-1.245378{col 79}{space 3} 13.21692
{txt}{space 20}205  {c |}{col 26}{res}{space 2} 6.459297{col 38}{space 2} 1.524772{col 49}{space 1}    4.24{col 58}{space 3}0.000{col 66}{space 4} 3.470799{col 79}{space 3} 9.447794
{txt}{space 20}209  {c |}{col 26}{res}{space 2} 2.062328{col 38}{space 2} 1.488858{col 49}{space 1}    1.39{col 58}{space 3}0.166{col 66}{space 4}-.8557809{col 79}{space 3} 4.980436
{txt}{space 20}217  {c |}{col 26}{res}{space 2} 1.818733{col 38}{space 2} 1.732177{col 49}{space 1}    1.05{col 58}{space 3}0.294{col 66}{space 4}-1.576271{col 79}{space 3} 5.213738
{txt}{space 20}219  {c |}{col 26}{res}{space 2} 2.604716{col 38}{space 2} 1.589077{col 49}{space 1}    1.64{col 58}{space 3}0.101{col 66}{space 4}-.5098176{col 79}{space 3}  5.71925
{txt}{space 20}222  {c |}{col 26}{res}{space 2} 3.010456{col 38}{space 2} 1.602791{col 49}{space 1}    1.88{col 58}{space 3}0.060{col 66}{space 4}-.1309571{col 79}{space 3} 6.151868
{txt}{space 20}227  {c |}{col 26}{res}{space 2} 4.804727{col 38}{space 2} 1.966422{col 49}{space 1}    2.44{col 58}{space 3}0.015{col 66}{space 4} .9506114{col 79}{space 3} 8.658842
{txt}{space 20}229  {c |}{col 26}{res}{space 2} 4.252224{col 38}{space 2} 1.183372{col 49}{space 1}    3.59{col 58}{space 3}0.000{col 66}{space 4} 1.932858{col 79}{space 3}  6.57159
{txt}{space 20}232  {c |}{col 26}{res}{space 2}   -1.095{col 38}{space 2} .7685496{col 49}{space 1}   -1.42{col 58}{space 3}0.154{col 66}{space 4} -2.60133{col 79}{space 3} .4113291
{txt}{space 20}238  {c |}{col 26}{res}{space 2}-2.708783{col 38}{space 2}  2.99148{col 49}{space 1}   -0.91{col 58}{space 3}0.365{col 66}{space 4}-8.571975{col 79}{space 3}  3.15441
{txt}{space 20}248  {c |}{col 26}{res}{space 2} -2.77791{col 38}{space 2} 1.362896{col 49}{space 1}   -2.04{col 58}{space 3}0.042{col 66}{space 4}-5.449138{col 79}{space 3}-.1066825
{txt}{space 20}255  {c |}{col 26}{res}{space 2} 1.807339{col 38}{space 2} .7432172{col 49}{space 1}    2.43{col 58}{space 3}0.015{col 66}{space 4} .3506601{col 79}{space 3} 3.264018
{txt}{space 20}260  {c |}{col 26}{res}{space 2} .9527347{col 38}{space 2} 1.041058{col 49}{space 1}    0.92{col 58}{space 3}0.360{col 66}{space 4}-1.087701{col 79}{space 3}  2.99317
{txt}{space 20}265  {c |}{col 26}{res}{space 2}-1.476371{col 38}{space 2} 3.142177{col 49}{space 1}   -0.47{col 58}{space 3}0.638{col 66}{space 4}-7.634926{col 79}{space 3} 4.682184
{txt}{space 20}270  {c |}{col 26}{res}{space 2} .4312394{col 38}{space 2} 2.060541{col 49}{space 1}    0.21{col 58}{space 3}0.834{col 66}{space 4}-3.607346{col 79}{space 3} 4.469825
{txt}{space 20}284  {c |}{col 26}{res}{space 2} 5.251053{col 38}{space 2} 1.402497{col 49}{space 1}    3.74{col 58}{space 3}0.000{col 66}{space 4}  2.50221{col 79}{space 3} 7.999896
{txt}{space 20}290  {c |}{col 26}{res}{space 2} 4.614289{col 38}{space 2} 2.815454{col 49}{space 1}    1.64{col 58}{space 3}0.101{col 66}{space 4}-.9038991{col 79}{space 3} 10.13248
{txt}{space 20}300  {c |}{col 26}{res}{space 2} 3.693745{col 38}{space 2} 1.325009{col 49}{space 1}    2.79{col 58}{space 3}0.005{col 66}{space 4} 1.096775{col 79}{space 3} 6.290714
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{txt}{space 20}304  {c |}{col 26}{res}{space 2} 4.719568{col 38}{space 2} 1.586024{col 49}{space 1}    2.98{col 58}{space 3}0.003{col 66}{space 4} 1.611019{col 79}{space 3} 7.828117
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{space 24} {c |}
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{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 522 failures and 0 successes completely determined.{p_end}

{com}. codebook ccode name gwf_caseid if e(sample)

{txt}{hline}
{res}ccode{right:COW 3-digit code}
{txt}{hline}

{col 19}type:  numeric ({res}double{txt})

{col 18}range:  [{res}41{txt},{res}850{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}67{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 423.943
{txt}{col 15}std. dev:{res}{col 26} 236.515

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      92{col 37}     230{col 47}     436{col 57}     580{col 67}     771

{txt}{hline}
{res}name{right:(lastnm) name}
{txt}{hline}

{col 19}type:  string ({res}str59{txt}), but longest is str48

{col 10}unique values:  {res}12,607{col 51}{txt}missing "":  {res}0{txt}/{res}195,408

{txt}{col 15}examples:  {res}"Chung Jae Chull"
{col 26}"Ibrahima Kabassan Keita"
{col 26}"Luis Cordero"
{col 26}"Raghabendra Pratap Bista"

{txt}{col 16}warning:  variable has embedded blanks

{txt}{hline}
{res}gwf_caseid{right:group(gwf_casename)}
{txt}{hline}

{col 19}type:  numeric ({res}int{txt})

{col 18}range:  [{res}8{txt},{res}527{txt}]{col 55}units:  {res}1
{col 10}{txt}unique values:  {res}89{col 51}{txt}missing .:  {res}0{txt}/{res}195,408

{txt}{col 19}mean:{res}{col 26} 286.633
{txt}{col 15}std. dev:{res}{col 26} 134.396

{txt}{col 12}percentiles:{col 32}10%{col 42}25%{col 52}50%{col 62}75%{col 72}90%
{res}{col 27}      69{col 37}     196{col 47}     306{col 57}     398{col 67}     436
{txt}
{com}. 
. *** Label variable ***
. lab def prev_military_lab 0 "Non-national defense & military portfolio" 1 "National defense & military portfolio" 
{txt}
{com}. lab val prev_military prev_military_lab
{txt}
{com}. 
. *** Figure A10 ***
. margins prev_military, at(yr_t=(1(4)46))
{res}
{txt}Predictive margins{col 49}Number of obs{col 67}= {res}   195,408
{txt}{col 1}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(major_frev), predict()}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 10}1}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 10}5}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 10}9}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}13}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}17}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}21}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:7._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}25}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:8._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}29}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:9._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}33}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:10._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}37}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:11._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}41}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:12._at}:{space 1}{res:{txt:yr_t}{space 12}{txt:=} {space 9}45}{p_end}
{p2colreset}{...}

{res}{txt}{hline 36}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 37}{c |}{col 49} Delta-method
{col 37}{c |}     Margin{col 49}   Std. Err.{col 61}      z{col 69}   P>|z|{col 77}     [95% Con{col 90}f. Interval]
{hline 36}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}_at#prev_military {c |}
{space 32} 1 #{c |}
Non-national defense & military ..  {c |}{col 37}{res}{space 2} .0081913{col 49}{space 2} .0011239{col 60}{space 1}    7.29{col 69}{space 3}0.000{col 77}{space 4} .0059885{col 90}{space 3}  .010394
{txt}{space 32} 1 #{c |}
National defense & military port..  {c |}{col 37}{res}{space 2} .0093827{col 49}{space 2}  .002268{col 60}{space 1}    4.14{col 69}{space 3}0.000{col 77}{space 4} .0049375{col 90}{space 3} .0138279
{txt}{space 32} 2 #{c |}
Non-national defense & military ..  {c |}{col 37}{res}{space 2} .0045403{col 49}{space 2} .0001888{col 60}{space 1}   24.05{col 69}{space 3}0.000{col 77}{space 4} .0041702{col 90}{space 3} .0049103
{txt}{space 32} 2 #{c |}
National defense & military port..  {c |}{col 37}{res}{space 2} .0024805{col 49}{space 2} .0006945{col 60}{space 1}    3.57{col 69}{space 3}0.000{col 77}{space 4} .0011194{col 90}{space 3} .0038417
{txt}{space 32} 3 #{c |}
Non-national defense & military ..  {c |}{col 37}{res}{space 2} .0024869{col 49}{space 2} .0003092{col 60}{space 1}    8.04{col 69}{space 3}0.000{col 77}{space 4}  .001881{col 90}{space 3} .0030928
{txt}{space 32} 3 #{c |}
National defense & military port..  {c |}{col 37}{res}{space 2} .0006305{col 49}{space 2} .0003826{col 60}{space 1}    1.65{col 69}{space 3}0.099{col 77}{space 4}-.0001193{col 90}{space 3} .0013803
{txt}{space 32} 4 #{c |}
Non-national defense & military ..  {c |}{col 37}{res}{space 2} .0013522{col 49}{space 2} .0003359{col 60}{space 1}    4.03{col 69}{space 3}0.000{col 77}{space 4} .0006939{col 90}{space 3} .0020104
{txt}{space 32} 4 #{c |}
National defense & military port..  {c |}{col 37}{res}{space 2} .0001583{col 49}{space 2}  .000153{col 60}{space 1}    1.03{col 69}{space 3}0.301{col 77}{space 4}-.0001416{col 90}{space 3} .0004582
{txt}{space 32} 5 #{c |}
Non-national defense & military ..  {c |}{col 37}{res}{space 2}  .000732{col 49}{space 2} .0002746{col 60}{space 1}    2.67{col 69}{space 3}0.008{col 77}{space 4} .0001938{col 90}{space 3} .0012701
{txt}{space 32} 5 #{c |}
National defense & military port..  {c |}{col 37}{res}{space 2} .0000396{col 49}{space 2} .0000528{col 60}{space 1}    0.75{col 69}{space 3}0.453{col 77}{space 4}-.0000638{col 90}{space 3} .0001431
{txt}{space 32} 6 #{c |}
Non-national defense & military ..  {c |}{col 37}{res}{space 2} .0003953{col 49}{space 2} .0001985{col 60}{space 1}    1.99{col 69}{space 3}0.046{col 77}{space 4} 6.18e-06{col 90}{space 3} .0007843
{txt}{space 32} 6 #{c |}
National defense & military port..  {c |}{col 37}{res}{space 2} 9.91e-06{col 49}{space 2} .0000168{col 60}{space 1}    0.59{col 69}{space 3}0.556{col 77}{space 4}-.0000231{col 90}{space 3} .0000429
{txt}{space 32} 7 #{c |}
Non-national defense & military ..  {c |}{col 37}{res}{space 2} .0002131{col 49}{space 2} .0001341{col 60}{space 1}    1.59{col 69}{space 3}0.112{col 77}{space 4}-.0000497{col 90}{space 3}  .000476
{txt}{space 32} 7 #{c |}
National defense & military port..  {c |}{col 37}{res}{space 2} 2.48e-06{col 49}{space 2} 5.12e-06{col 60}{space 1}    0.48{col 69}{space 3}0.628{col 77}{space 4}-7.56e-06{col 90}{space 3} .0000125
{txt}{space 32} 8 #{c |}
Non-national defense & military ..  {c |}{col 37}{res}{space 2} .0001148{col 49}{space 2} .0000868{col 60}{space 1}    1.32{col 69}{space 3}0.186{col 77}{space 4}-.0000554{col 90}{space 3} .0002851
{txt}{space 32} 8 #{c |}
National defense & military port..  {c |}{col 37}{res}{space 2} 6.20e-07{col 49}{space 2} 1.51e-06{col 60}{space 1}    0.41{col 69}{space 3}0.681{col 77}{space 4}-2.34e-06{col 90}{space 3} 3.58e-06
{txt}{space 32} 9 #{c |}
Non-national defense & military ..  {c |}{col 37}{res}{space 2} .0000619{col 49}{space 2} .0000546{col 60}{space 1}    1.13{col 69}{space 3}0.257{col 77}{space 4}-.0000452{col 90}{space 3} .0001689
{txt}{space 32} 9 #{c |}
National defense & military port..  {c |}{col 37}{res}{space 2} 1.55e-07{col 49}{space 2} 4.34e-07{col 60}{space 1}    0.36{col 69}{space 3}0.721{col 77}{space 4}-6.96e-07{col 90}{space 3} 1.01e-06
{txt}{space 32}10 #{c |}
Non-national defense & military ..  {c |}{col 37}{res}{space 2} .0000333{col 49}{space 2} .0000336{col 60}{space 1}    0.99{col 69}{space 3}0.322{col 77}{space 4}-.0000326{col 90}{space 3} .0000992
{txt}{space 32}10 #{c |}
National defense & military port..  {c |}{col 37}{res}{space 2} 3.88e-08{col 49}{space 2} 1.23e-07{col 60}{space 1}    0.32{col 69}{space 3}0.753{col 77}{space 4}-2.02e-07{col 90}{space 3} 2.80e-07
{txt}{space 32}11 #{c |}
Non-national defense & military ..  {c |}{col 37}{res}{space 2} .0000179{col 49}{space 2} .0000204{col 60}{space 1}    0.88{col 69}{space 3}0.379{col 77}{space 4} -.000022{col 90}{space 3} .0000579
{txt}{space 32}11 #{c |}
National defense & military port..  {c |}{col 37}{res}{space 2} 9.69e-09{col 49}{space 2} 3.43e-08{col 60}{space 1}    0.28{col 69}{space 3}0.778{col 77}{space 4}-5.76e-08{col 90}{space 3} 7.69e-08
{txt}{space 32}12 #{c |}
Non-national defense & military ..  {c |}{col 37}{res}{space 2} 9.66e-06{col 49}{space 2} .0000122{col 60}{space 1}    0.79{col 69}{space 3}0.428{col 77}{space 4}-.0000142{col 90}{space 3} .0000336
{txt}{space 32}12 #{c |}
National defense & military port..  {c |}{col 37}{res}{space 2} 2.42e-09{col 49}{space 2} 9.47e-09{col 60}{space 1}    0.26{col 69}{space 3}0.798{col 77}{space 4}-1.61e-08{col 90}{space 3} 2.10e-08
{txt}{hline 36}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. marginsplot, scheme(plotplain) yline(0) legend(pos(6) col(2)) xtitle("Years since transition") ytitle("Autocratic Revolving Doors") title("")
{res}
{text}{p 2 6 2}Variables that uniquely identify margins: yr_t prev_military{p_end}
{res}{txt}
{com}. 
{txt}end of do-file

{com}. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Administrator\Dropbox\Papers\ARD Elites\Draft\ARD Observational\PoP\Final submission\Data\ARD_PoP_StataLog.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res}12 Dec 2024, 09:00:17
{txt}{.-}
{smcl}
{txt}{sf}{ul off}